MCP Server Directory

This MCP server provides comprehensive access to GitHub's API, enabling seamless integration with GitHub's developer platform directly from your AI assistant. The server offers extensive functionality across all major GitHub features, from basic repository management to advanced CI/CD workflows and security monitoring. The tools are organized into several key categories: repository operations, issue and project management, pull request workflows, code review processes, security scanning, GitHub Actions automation, notifications, search capabilities, discussions, and user account management. This makes it possible to perform virtually any GitHub operation programmatically through natural language conversations. Whether you're managing repositories, collaborating on code, monitoring security alerts, or automating development workflows, this MCP server transforms GitHub into a conversational interface that can handle complex multi-step operations across your entire development lifecycle. ## Use Cases ### Repository Management **Create and manage repositories with full version control** - Sample prompt: `Create a new private repository called "project-alpha" with the description "Internal analytics dashboard" and initialize it with a README` - Sample prompt: `Fork the repository microsoft/vscode to my account and then create a new branch called "feature-dark-theme" from the main branch` - Sample prompt: `Get the contents of the src/components/Header.js file from the main branch of my react-dashboard repository` ### Issue Tracking and Project Management **Organize work with comprehensive issue management and sub-task hierarchies** - Sample prompt: `Create a new issue titled "Implement user authentication system" in my web-app repository, assign it to john-dev, and add the labels "enhancement" and "high-priority"` - Sample prompt: `Add three sub-issues to issue #45 in my project repo: "Design login UI", "Set up JWT authentication", and "Add password reset functionality"` - Sample prompt: `Show me all open issues in the backend-api repository that are labeled as "bug" and created in the last 30 days` ### Pull Request Workflow **Streamline code review and merge processes** - Sample prompt: `Create a pull request to merge my feature-auth branch into main for the web-app repository with the title "Add OAuth integration" and request review from sarah-dev` - Sample prompt: `Get the diff for pull request #23 in the mobile-app repository and show me which files were changed` - Sample prompt: `Merge pull request #15 in my api-server repository using the squash merge method with the commit message "Implement rate limiting feature"` ### Code Review Management **Facilitate thorough code reviews with structured feedback** - Sample prompt: `Create a pending review for pull request #18 in the frontend repository, then add a comment on line 45 of src/utils/validation.js suggesting to use regex for email validation` - Sample prompt: `Submit my pending review for pull request #12 with approval and the comment "Great implementation, looks good to merge"` - Sample prompt: `Request a GitHub Copilot review for pull request #25 in my python-service repository to get automated feedback before human review` ### Security Monitoring **Track and manage security vulnerabilities across your codebase** - Sample prompt: `List all high-severity code scanning alerts in my production-app repository that are currently open` - Sample prompt: `Show me details for Dependabot alert #7 in my node-backend repository and explain what vulnerability it addresses` - Sample prompt: `Get all secret scanning alerts for my organization's repositories to check for any leaked API keys or tokens` ### CI/CD and Automation **Monitor and control GitHub Actions workflows** - Sample prompt: `Run the "deploy-to-staging" workflow on the main branch of my web-service repository with the input parameter environment=staging` - Sample prompt: `Show me the logs for all failed jobs in workflow run #1234 of my ci-pipeline repository to debug the build failure` - Sample prompt: `List all workflow runs for the "test-and-build" workflow in my mobile-app repository that were triggered by push events in the last week` ### Search and Discovery **Find repositories, code, users, and issues across GitHub** - Sample prompt: `Search for Python repositories with more than 1000 stars that contain machine learning code and were updated in the last month` - Sample prompt: `Find all issues across my repositories that mention "authentication" and are still open` - Sample prompt: `Search for the function "calculateTax" in JavaScript files across all public repositories to see implementation examples` ### Team Collaboration and Notifications **Stay informed about repository activity and manage team communications** - Sample prompt: `Show me all my GitHub notifications from the last 3 days, including pull request reviews, issue mentions, and security alerts` - Sample prompt: `Mark all notifications as read for the team-project repository since I've reviewed them in our standup meeting` - Sample prompt: `Set up notification watching for the open-source-lib repository so I get notified about all new issues and pull requests` ### Discussion and Community Management **Foster open communication and knowledge sharing** - Sample prompt: `Create a discussion in the "Ideas" category of my community-project repository with the title "Feature Request: Dark Mode Support"` - Sample prompt: `List all discussions in the documentation-site repository and show me the most recent comments on each` - Sample prompt: `Get all comments from the discussion about "API versioning strategy" in my backend-services repository` ### Advanced Automation with Copilot **Leverage AI assistance for complex development tasks** - Sample prompt: `Use GitHub Copilot to create a pull request that refactors the user service in my microservices-app repository to use async/await instead of promises` - Sample prompt: `Assign GitHub Copilot to work on issue #42 about implementing Redis caching in my api-gateway repository` ### File and Content Management **Efficiently manage repository contents and documentation** - Sample prompt: `Update the README.md file in my project-docs repository with new installation instructions and commit the changes to the main branch` - Sample prompt: `Create multiple files in my new-service repository: src/index.js with a basic Express server setup, package.json with dependencies, and .gitignore with Node.js exclusions` - Sample prompt: `Delete the deprecated config/old-settings.json file from my web-application repository and commit the removal`

The Hugging Face MCP Server provides comprehensive access to the entire Hugging Face ecosystem, enabling seamless interaction with the world's largest machine learning platform. This server connects you to Hugging Face's vast repository of over 1 million models, 400,000+ applications (Spaces), 250,000+ datasets, and extensive research papers. The server offers tools for discovering, searching, and retrieving detailed information about ML resources, along with access to Hugging Face's documentation across all their products and libraries. Additionally, it includes image generation capabilities through integrated Gradio Spaces, allowing you to leverage state-of-the-art models directly through the interface. Whether you're conducting research, building applications, or exploring the latest in machine learning, this MCP server serves as your gateway to the collaborative platform trusted by over 50,000 organizations worldwide. ## Use Cases ### **ML Model Discovery and Research** Find and evaluate models for specific tasks, comparing their performance metrics, popularity, and implementation details. Sample prompt: `Find the top 10 most downloaded text-generation models from Google and include their download counts, likes, and direct links` ### **Dataset Exploration for Training Projects** Discover appropriate datasets for machine learning projects, filtered by specific criteria like language, size, or task category. Sample prompt: `Search for English language datasets larger than 1M samples that are suitable for text classification tasks, and show me the top 5 results with their details` ### **Research Paper Investigation** Explore cutting-edge research papers related to specific ML topics or techniques to stay current with academic developments. Sample prompt: `Find recent papers about transformer architecture improvements and attention mechanisms, and provide concise 2-sentence summaries of their abstracts` ### **Technical Documentation Lookup** Quickly access specific documentation and implementation guides across Hugging Face's extensive library ecosystem. Sample prompt: `Search the Transformers documentation for information about fine-tuning BERT models with custom datasets` ### **AI Application Discovery** Explore interactive demos and applications built by the community to understand implementation possibilities and user experiences. Sample prompt: `Find Spaces related to code generation and web development, especially those that are MCP Server enabled` ### **Image Generation and Style Transfer** Create original images or transform existing ones using state-of-the-art diffusion models and style transfer techniques. Sample prompt: `Generate a detailed image of a futuristic cityscape at sunset with flying cars, using 8 inference steps and a random seed` ### **Visual Content Transformation** Convert photographs or images into artistic styles, particularly anime or Studio Ghibli aesthetics. Sample prompt: `Transform this landscape photo into a Studio Ghibli animation style: https://example.com/landscape.jpg` ### **Competitive Analysis and Model Comparison** Research and compare different models, datasets, or approaches for specific use cases by examining their metadata and community engagement. Sample prompt: `Get detailed information about the microsoft/DialoGPT-large model including its architecture, training data, and performance metrics` ### **Academic Literature Review** Conduct systematic searches of ML research papers to support literature reviews or identify research gaps. Sample prompt: `Search for papers about few-shot learning in natural language processing published recently, limiting to 15 results` ### **Development Workflow Integration** Access model and dataset specifications needed for integrating Hugging Face resources into development projects. Sample prompt: `Show me details about the Anthropic/hh-rlhf dataset including its structure, size, and licensing information`

The Tavily MCP server provides AI-optimized web access capabilities through a comprehensive suite of tools designed specifically for agents and LLMs. Tavily is a leading provider of web search and content extraction APIs, trusted by over 700,000 developers worldwide and backed by partnerships with major AI platforms like LangChain, Cohere, and MongoDB. This MCP server offers four core functionalities that work together to give AI agents powerful web research capabilities. The tools are optimized for Retrieval Augmented Generation (RAG) workflows and designed to reduce hallucinations by providing accurate, real-time information from the web. The server focuses on delivering fast, reliable access to web content through simple, agent-first APIs that handle everything from targeted searches to comprehensive website exploration. ## Use Cases ### Real-time Information Research Search for current events, breaking news, or up-to-date information on any topic with customizable search parameters and source filtering. Sample prompt: `Find the latest news about Tesla's stock price and recent quarterly earnings from the past 7 days` ### Domain-specific Content Analysis Extract and analyze content from specific websites or limit searches to particular domains for focused research. Sample prompt: `Search for information about machine learning trends but only include results from arxiv.org, towards data science, and academic papers` ### Financial Market Research Access real-time financial information and market data using specialized financial search capabilities. Sample prompt: `Get the latest information about Apple's financial performance and analyst ratings from financial news sources in the past month` ### Content Extraction from Multiple Sources Extract clean, structured content from a list of specific URLs for detailed analysis or processing. Sample prompt: `Extract the full text content from these three research paper URLs: https://arxiv.org/abs/2023.12345, https://papers.nips.cc/paper/2023/hash/abc123, https://openreview.net/forum?id=xyz789` ### Website Structure Discovery Map and understand the organization of a website to identify all available pages and content sections. Sample prompt: `Map out the entire structure of the OpenAI documentation website to see all available API endpoints and guides` ### Comprehensive Website Content Analysis Crawl multiple pages across a website to gather comprehensive information while respecting depth and breadth limits. Sample prompt: `Crawl the entire TensorFlow documentation website up to 3 levels deep to gather information about neural network implementation tutorials` ### Time-bound Research Search for information within specific date ranges or time periods for historical analysis or trend identification. Sample prompt: `Find all articles about climate change policy published between January 2024 and March 2024 from government and academic sources` ### Multi-source Fact Verification Cross-reference information across multiple sources to verify facts and reduce the risk of misinformation. Sample prompt: `Search for information about the recent Mars rover discovery and cross-check it across NASA, scientific journals, and reputable news sources` ### Competitive Intelligence Gathering Research competitors, industry trends, and market positioning by crawling specific company websites and industry publications. Sample prompt: `Crawl the careers and product pages of Anthropic, OpenAI, and Google DeepMind to understand their current hiring priorities and product offerings` ### Academic Research Support Gather scholarly articles, research papers, and academic content with advanced extraction capabilities for in-depth analysis. Sample prompt: `Search for peer-reviewed research papers about transformer architecture improvements published in 2024, and extract the full content from the top 5 results`

This MCP server provides comprehensive web search and research capabilities powered by Exa AI, a neural search engine specifically designed for Large Language Models. Exa AI offers enterprise-grade web search that goes beyond traditional search engines, providing fast, controllable, and accurate results with the ability to find niche content that other tools might miss. The server exposes six main tools that fall into three primary categories: general web search and content crawling, specialized company and LinkedIn research, and advanced AI-powered deep research. These tools leverage Exa's neural and keyword ranking system to deliver high-quality, relevant results with low latency. Trusted by leading AI companies like Cursor, Databricks, and Vercel, this MCP server enables AI applications to access real-time web information, conduct thorough business research, and generate comprehensive reports with proper citations and source verification. ## Use Cases ### **Real-time Web Research and Content Analysis** Perfect for gathering current information on any topic, from technical documentation to recent news and developments. **Sample prompt:** `Find the latest developments in quantum computing from the past 6 months, including any breakthrough research papers and commercial applications` ### **Company Intelligence and Business Research** Comprehensive business analysis including company operations, financial information, recent news, and industry positioning. **Sample prompt:** `Research Tesla's recent supply chain partnerships and manufacturing expansions, focusing on their battery technology suppliers and production capacity changes in 2024` ### **Professional Networking and Recruitment** LinkedIn-focused search to find specific professionals, companies, or business opportunities with detailed filtering capabilities. **Sample prompt:** `Find senior software engineers at Series A startups in San Francisco who have experience with both machine learning and blockchain technology` ### **Technical Documentation and Code Reference** Extract detailed content from technical documentation, Stack Overflow discussions, and developer resources to support coding tasks. **Sample prompt:** `Crawl the latest React 18 documentation for server-side rendering best practices and extract code examples for implementing streaming SSR` ### **Deep Market Analysis and Competitive Intelligence** Comprehensive research reports that analyze multiple sources, synthesize findings, and provide well-cited summaries on complex topics. **Sample prompt:** `Conduct a comprehensive analysis of the current state of the autonomous vehicle industry, including key players, technological challenges, regulatory landscape, and market projections for the next 5 years` ### **Content Verification and Fact-Checking** Verify information across multiple web sources and provide authoritative, well-sourced answers to specific questions. **Sample prompt:** `Verify the current FDA approval status for CRISPR-based therapies in the United States, including specific treatments, approval dates, and any recent regulatory changes` ### **Industry Trend Monitoring** Track emerging trends, technologies, and market movements across various industries with real-time web monitoring. **Sample prompt:** `Monitor recent developments in renewable energy storage solutions, focusing on new battery technologies and their commercial adoption by utility companies in 2024` ### **Academic and Scientific Research** Access and analyze scientific papers, research publications, and academic resources for literature reviews and research synthesis. **Sample prompt:** `Find recent peer-reviewed research on the effectiveness of AI-assisted drug discovery, particularly focusing on protein folding prediction methods published in the last 18 months`

This MCP server provides access to Context7, a comprehensive documentation service by Upstash that maintains up-to-date documentation for popular libraries and frameworks. The server enables AI assistants to retrieve current documentation and code examples for any supported library, making it ideal for integration with LLMs and AI code editors like Cursor and Claude. The server offers two complementary tools that work together to deliver accurate, current documentation. The first tool resolves library names to standardized identifiers, while the second fetches the actual documentation content with configurable scope and detail levels. This service is particularly valuable for developers and AI assistants who need reliable, current documentation rather than potentially outdated training data, ensuring code examples and API references reflect the latest versions of libraries. ## Use Cases ### Library Documentation Retrieval Get comprehensive documentation for specific libraries or frameworks to understand their APIs, features, and implementation patterns. **Sample prompt:** `I need the complete documentation for React Router including routing setup, navigation hooks, and error boundaries` ### Focused Topic Documentation Retrieve documentation focused on specific topics within a library, such as hooks, authentication, or deployment strategies. **Sample prompt:** `Show me all the authentication-related documentation for Supabase, including code examples for login, signup, and session management` ### Library Comparison Research Research and compare multiple libraries by retrieving their documentation to understand feature sets, implementation approaches, and use cases. **Sample prompt:** `I need documentation for both Prisma and Drizzle ORM to compare their query builders, schema definitions, and TypeScript integration` ### Code Implementation Guidance Access current API references and code examples when implementing specific features or integrating libraries into projects. **Sample prompt:** `Get me the latest Next.js App Router documentation focusing on server components, data fetching, and route handlers with TypeScript examples` ### Framework Migration Support Retrieve documentation for both source and target frameworks to facilitate migration projects and understand API differences. **Sample prompt:** `I need documentation for Vue 2 and Vue 3 composition API to help migrate my application, focusing on lifecycle hooks and state management` ### Development Environment Setup Access setup and configuration documentation for libraries, including installation, configuration, and integration guidelines. **Sample prompt:** `Show me the complete setup documentation for Tailwind CSS including configuration options, plugin integration, and build optimization`

Hive Intelligence provides a comprehensive Model Context Protocol (MCP) server that gives AI agents native blockchain capabilities across the entire crypto ecosystem. The platform serves as "the open standard that lets AI agents speak blockchain," offering deep integration with leading AI platforms like Claude, ChatGPT, Google Gemini, and LangChain. The MCP server exposes over 10 major categories of blockchain intelligence tools, covering everything from real-time market data and DeFi analytics to security assessments and social sentiment tracking. The system uses a structured approach where users can discover available endpoints by category, retrieve detailed schemas for specific functionality, and then invoke endpoints with properly formatted parameters. Key categories include market data and pricing, on-chain DEX and pool analytics, portfolio and wallet tracking, token and contract analysis, DeFi protocol metrics, NFT analytics, security and risk assessment, network infrastructure monitoring, search and discovery capabilities, and social media sentiment analysis. This comprehensive coverage makes it ideal for building sophisticated crypto-focused AI agents and applications. ## Use Cases **Real-time Market Analysis** Track cryptocurrency prices, trading volumes, and market performance across multiple exchanges and timeframes. Access OHLC data, market caps, and derivatives pricing to build comprehensive market intelligence systems. Sample prompt: `What is the current price of Ethereum and its 24-hour trading volume across major exchanges, and show me the OHLC data for the last 7 days` **DeFi Portfolio Management** Monitor wallet balances, track portfolio positions across multiple protocols and chains, and analyze transaction history with comprehensive balance tracking over time. Sample prompt: `Analyze the wallet address 0x742d35Cc6634C0532925a3b8D35Cc2bd95F8A1Ee and show me all token holdings, recent transactions, and net asset value changes over the past 30 days` **DEX Trading Intelligence** Access real-time decentralized exchange analytics including pool liquidity, trading pairs performance, and trending pools with DEXScreener-style metrics. Sample prompt: `Find the top 5 trending liquidity pools on Uniswap V3 by trading volume in the last 24 hours and show me the maker/buyer/seller statistics for each pool` **Token Security Assessment** Perform comprehensive security analysis on tokens and contracts, including honeypot detection, malicious address identification, and contract approval risks. Sample prompt: `Analyze the security of token contract 0x1f9840a85d5af5bf1d1762f925bdaddc4201f984 and check for any honeypot characteristics, malicious patterns, or approval risks` **DeFi Protocol Analytics** Track Total Value Locked (TVL) across protocols, analyze yield farming opportunities, and monitor protocol fee structures and historical performance. Sample prompt: `Show me the current TVL for Aave protocol across all chains, its fee revenue for the past month, and compare it with Compound's performance metrics` **NFT Collection Analysis** Monitor NFT collections including floor prices, trading volumes, holder distributions, and market trends with comprehensive collection metadata. Sample prompt: `Analyze the Bored Ape Yacht Club collection and show me the current floor price, trading volume trends for the past week, and top holder analysis` **Cross-chain Network Monitoring** Track gas prices, mempool activity, and network health across multiple blockchain networks with real-time infrastructure metrics. Sample prompt: `Compare current gas prices across Ethereum, Polygon, and Arbitrum networks, and show me pending transaction counts and average confirmation times` **Social Sentiment Tracking** Analyze social media sentiment, track influencer activity, and monitor trending topics with Galaxy Score™ and AltRank™ metrics for crypto assets. Sample prompt: `What is the current social sentiment for Bitcoin based on Galaxy Score and AltRank metrics, and show me trending discussions from top crypto influencers in the past 24 hours` **Arbitrage and MEV Detection** Identify arbitrage opportunities, detect MEV activities, and optimize gas fees across different networks and exchanges. Sample prompt: `Find current arbitrage opportunities for USDC across Ethereum mainnet DEXs and calculate potential profit after accounting for gas fees and slippage` **Comprehensive Token Research** Discover new tokens, analyze holder distributions, track token lifecycle events, and access detailed project metadata including social media links. Sample prompt: `Research the token PEPE including its holder distribution, recent trading activity, contract verification status, and official social media channels`

This MCP server provides comprehensive integration with Teamwork.com, an AI-powered project management and resource management platform built specifically for client work. Teamwork.com is trusted by over 16,000 businesses including agencies, IT service providers, consulting firms, and professional services organizations to manage projects, track resources, and maximize profitability. The server offers over 80 tools covering the complete project management lifecycle, from initial setup to completion and reporting. These tools are organized into several key categories: project structure management (projects, tasks, task lists, milestones), resource management (users, teams, companies), time tracking (timers, time logs), collaboration (comments, tags), and comprehensive reporting and analytics. The platform emphasizes resource optimization, billable hour tracking, and project profitability - making it particularly valuable for service-based businesses that need to balance client demands with operational efficiency. With built-in AI capabilities and extensive integration options, these tools enable seamless project delivery while maintaining visibility into team utilization and project margins. ## Use Cases **Project Setup and Planning** - Sample prompt: `Create a new project called "Website Redesign for Acme Corp" with start date January 15, 2024 and end date March 30, 2024, assign it to company ID 123` - Sample prompt: `Set up a complete project structure with task lists for "Discovery", "Design", "Development", and "Testing" phases for project ID 456` **Resource Management and Team Assignment** - Sample prompt: `Show me all available team members for project ID 789 and their current workload status` - Sample prompt: `Create a new milestone called "Phase 1 Complete" due February 28, 2024 and assign it to user IDs 101, 102, and 103` **Task Management and Tracking** - Sample prompt: `Create a high-priority task "Finalize client requirements" in task list ID 555 with estimated duration of 4 hours and due date January 20, 2024` - Sample prompt: `List all overdue tasks across all my active projects and show their current progress status` **Time Tracking and Billing** - Sample prompt: `Start a timer for task ID 444 with description "Client meeting preparation" and mark it as billable` - Sample prompt: `Log 3 hours and 30 minutes of billable time for project ID 222 on January 15, 2024 from 9:00 AM to 12:30 PM with description "Requirements gathering"` **Client Communication and Collaboration** - Sample prompt: `Add a comment to task ID 333 saying "Client feedback received, implementing requested changes" and notify the assigned team members` - Sample prompt: `Show me all comments on milestone ID 777 from the past week to review client feedback` **Project Reporting and Analytics** - Sample prompt: `Generate a report showing billable utilization rates for all team members on project ID 888 for the month of January 2024` - Sample prompt: `List all activities for project ID 999 between January 1 and January 31, 2024, filtered by task completions and milestone updates` **Company and User Management** - Sample prompt: `Create a new client company "Tech Innovations LLC" with contact email info@techinnovations.com and assign manager ID 505` - Sample prompt: `Add users 201, 202, and 203 as project members to project ID 1010 with appropriate access levels` **Profitability and Budget Tracking** - Sample prompt: `Show me all time logs for project ID 1111 tagged with "design-work" to analyze budget allocation for the creative phase` - Sample prompt: `List all projects for company ID 456 and show their current budget status and billable hours logged`

This MCP server provides comprehensive incident management and alerting capabilities through ilert's platform. ilert is a German-based AI-first incident management solution that focuses on privacy and helps operations teams maintain high system reliability. The server enables seamless integration with ilert's full incident response lifecycle, from initial alerting through resolution and post-incident analysis. The MCP server exposes tools across several key categories: user and resource management, alert lifecycle management, incident creation and tracking, and automated action execution. These tools work together to provide a complete incident response workflow, allowing teams to programmatically manage alerts, coordinate response efforts, and maintain visibility throughout critical incidents. With strong integration capabilities and AI-enhanced features, this server is particularly valuable for DevOps, SRE, and IT operations teams who need to automate incident response processes while maintaining human oversight and control. ## Use Cases **Personal Alert Dashboard and Triage** Quickly retrieve and prioritize your assigned alerts to focus on the most critical issues first. Sample prompt: `Show me all my pending and accepted alerts from the last 24 hours, and give me details on the highest priority ones` **Incident Response Coordination** Coordinate team response by adding the right experts to critical alerts and managing escalations effectively. Sample prompt: `There's a database outage affecting our payment system. Find users with "database" expertise, add them as responders to alert ID 12345, and escalate it to level 2 if needed` **Alert Investigation and Documentation** Thoroughly investigate alerts by gathering all relevant information and documenting findings for knowledge sharing. Sample prompt: `Get full details for alert 67890 including all current responders and escalation info, then add a comment with my investigation findings about the root cause being a memory leak in the API service` **Automated Alert Resolution Workflow** Streamline resolution by accepting ownership, documenting the fix, and properly closing alerts with audit trails. Sample prompt: `Accept alert 11223, add a comment explaining that I restarted the failing service and verified it's healthy, then resolve the alert` **Cross-Team Alert Routing** Ensure alerts reach the appropriate teams by rerouting misassigned alerts to the correct escalation policies. Sample prompt: `This alert 44556 about the payment gateway was routed to the frontend team by mistake. Find the payments escalation policy and reroute this alert there` **Manual Incident Creation for Proactive Issues** Create alerts for issues discovered through monitoring or customer reports before they escalate. Sample prompt: `Create a high priority alert for the API service about intermittent 500 errors I'm seeing in the logs, assign it to the backend escalation policy and add John and Sarah as initial responders` **Service Status and Incident Communication** Create comprehensive incidents for major outages that require broader stakeholder communication and coordination. Sample prompt: `Create an incident for the payment processing service with major outage impact level - customers can't complete purchases due to database connectivity issues` **Alert Action Automation** Discover and execute automated remediation actions available for specific alerts to speed up resolution. Sample prompt: `Show me what automated actions are available for alert 78901 about the web server being down, then invoke the service restart action if available` **Team Resource Discovery** Find the right people, services, and policies when coordinating incident response across multiple teams. Sample prompt: `I need to create an alert for the user authentication service. Find the auth service details, locate the security team's escalation policy, and show me who's currently on-call for that schedule` **Historical Alert Analysis** Analyze resolved alerts to identify patterns and improve incident response processes. Sample prompt: `Get all resolved alerts from the past week that were assigned to the infrastructure team, and show me details on any that took longer than 2 hours to resolve`

The HeyOnCall MCP Server provides integration with HeyOnCall, a comprehensive on-call rotation scheduling, alerting, escalations, and monitoring platform. HeyOnCall takes a spartan approach to managing DevOps operations, offering tools to monitor every part of a modern web application from personal projects to production systems. This MCP server enables AI assistants to trigger critical alerts directly through HeyOnCall's alerting system. The integration allows for seamless escalation of issues to the appropriate on-call personnel through HeyOnCall's robust notification infrastructure, which includes mobile apps with special critical alert permissions, Slack integration, email, and other delivery channels. The server provides a simple but powerful interface for creating incidents that will be automatically routed to the current on-call user for the relevant service, complete with escalation policies and comprehensive incident management features. ## Use Cases ### **Critical System Failure Detection** When monitoring systems detect critical failures that require immediate human intervention. - Sample prompt: `The database server is showing 100% CPU usage and response times over 30 seconds. This is affecting our main application. Please alert the on-call team immediately with the message "Database server critical performance issue - immediate attention required" and include the monitoring dashboard URL https://monitoring.company.com/db-alerts` ### **Security Incident Response** When security monitoring tools detect potential threats or breaches that need urgent attention. - Sample prompt: `I've detected multiple failed login attempts from suspicious IP addresses on our admin panel. Alert the security on-call team with the message "Potential brute force attack detected on admin panel" and include the security dashboard link https://security.company.com/incidents/2024001` ### **Automated Deployment Failure Escalation** When CI/CD pipelines fail critically and automated recovery attempts are unsuccessful. - Sample prompt: `Our production deployment pipeline has failed three consecutive times and rollback attempts have also failed. The site is down. Please immediately alert the DevOps team with "Production deployment failure - site down, rollback failed" and include the build status page https://ci.company.com/build/prod-2024-001` ### **Business-Critical Process Monitoring** When essential business processes like payment processing or data synchronization fail. - Sample prompt: `The nightly payment processing batch job has been stuck for 2 hours and customer payments are not being processed. Alert the payments team immediately with "Payment processing batch job stuck - customer payments delayed" and link to https://admin.company.com/payments/batch-status` ### **Infrastructure Threshold Breach** When system metrics exceed critical thresholds that could lead to service degradation. - Sample prompt: `Our primary web server's disk usage has reached 95% and is growing rapidly. This could cause the application to crash within the hour. Alert the infrastructure team with "Web server disk space critical - 95% usage, immediate cleanup required" and include the server dashboard https://infra.company.com/servers/web-01` ### **Third-Party Service Integration Failures** When critical integrations with external services fail and affect business operations. - Sample prompt: `Our Stripe payment integration has been failing for the last 20 minutes with API errors. Customers cannot complete purchases. Please alert the backend team immediately with "Stripe payment integration down - blocking all purchases" and include our payment errors dashboard https://monitoring.company.com/payments/errors` ### **Data Backup and Recovery Issues** When automated backup systems fail or data integrity issues are detected. - Sample prompt: `The automated database backup job failed last night and this morning's backup also failed. We have no recent backups available. Alert the database team urgently with "Database backup system failure - no recent backups available" and include the backup monitoring page https://backups.company.com/status`

This MCP server provides access to Microsoft's official documentation and learning resources through Microsoft Learn, the company's comprehensive platform for technical education and skill development. The server offers two complementary tools designed to help users find and retrieve accurate, first-party Microsoft and Azure knowledge from official sources. The primary functionality centers around searching Microsoft's extensive documentation library and fetching complete technical content from Microsoft Learn and other official Microsoft resources. This includes documentation for Azure, .NET, Microsoft 365, Windows, Office, Dynamics, Power Apps, Teams, and other Microsoft technologies and services. The tools work together in a recommended pattern: first search to identify relevant content, then fetch specific high-value pages for complete, detailed information. This approach ensures users can quickly find accurate answers while also accessing comprehensive technical guides when needed. ## Use Cases **Azure Service Configuration and Setup** - Sample prompt: `How do I set up Azure Application Gateway with SSL termination and configure backend pools for my web application?` **Troubleshooting Microsoft Product Issues** - Sample prompt: `My Azure Function is failing with a timeout error when connecting to SQL Database. What are the recommended troubleshooting steps and configuration settings?` **API Integration and Development** - Sample prompt: `I need the complete documentation for Microsoft Graph API's user management endpoints, including authentication requirements and code examples.` **Learning New Microsoft Technologies** - Sample prompt: `Provide me with a comprehensive tutorial on getting started with Azure DevOps pipelines for .NET applications, including YAML configuration examples.` **Security and Compliance Configuration** - Sample prompt: `What are Microsoft's recommended security configurations for Azure Active Directory B2C tenant, including multi-factor authentication setup?` **Migration Planning and Guidance** - Sample prompt: `I need detailed steps and best practices for migrating our on-premises SQL Server database to Azure SQL Database, including performance considerations.` **Microsoft Certification Study Materials** - Sample prompt: `Find the official study guide and learning path for the Azure Solutions Architect Expert certification (AZ-305), including hands-on labs.` **Power Platform Development** - Sample prompt: `How do I create custom connectors in Power Automate to integrate with external REST APIs? I need the complete development guide with examples.` **Microsoft 365 Administration** - Sample prompt: `What are the step-by-step instructions for configuring SharePoint Online external sharing policies and managing guest user access?` **Cross-Platform Integration** - Sample prompt: `I need documentation on integrating Microsoft Teams with external applications using webhooks and the Microsoft Teams SDK for JavaScript.`

Cleanup Crew's MCP server provides a seamless bridge between AI coding assistants and human expert support. When AI tools like Cursor, Copilot, or Claude Code reach their limits, this server enables developers to instantly request help from expert developers who are available 24/7. The server focuses on capturing comprehensive context automatically, including conversation history, workspace state, diagnostics, and project details. This ensures that when human experts take over, they have all the necessary information to provide effective assistance without requiring developers to manually explain their entire situation. Cleanup Crew specializes in solving complex coding challenges that AI assistants struggle with, such as multi-file reasoning, runtime debugging, architecture decisions, and integration issues. Their expert developers provide real-time support through Discord channels with response times ranging from 15-60 minutes depending on the subscription tier. ## Use Cases **Complex Multi-File Debugging** When dealing with intricate bugs that span multiple files and require understanding of complex system interactions that AI tools can't fully grasp. Sample prompt: `I have a React app where user authentication is failing intermittently, and the issue seems to involve the interaction between my JWT middleware, Redux store, and several React components. My AI assistant can't trace the issue across all these files - can you help debug this?` **Runtime Error Investigation** For production errors and exceptions that require deep system knowledge and debugging expertise beyond what AI coding assistants can provide. Sample prompt: `My Node.js API is throwing memory leak errors in production but works fine locally. I've tried several AI-suggested fixes but the issue persists. The error occurs in our payment processing module and I need expert help to identify the root cause.` **Architecture Decision Support** When facing critical technical decisions about system architecture, technology choices, or implementation strategies that require experienced human judgment. Sample prompt: `I'm building a real-time chat application and need to decide between WebSockets, Server-Sent Events, or a third-party service like Pusher. My AI tools give generic advice but I need expert guidance considering my specific requirements for scalability and cost.` **Legacy Code Integration** For challenges involving integration with legacy systems, outdated dependencies, or complex migration scenarios that AI tools struggle to understand. Sample prompt: `I need to integrate my modern React frontend with a legacy PHP API that uses custom authentication. The documentation is incomplete and my AI assistant keeps suggesting approaches that don't work with this older system architecture.` **Performance Optimization Issues** When applications have performance bottlenecks that require expert analysis and optimization strategies beyond basic AI recommendations. Sample prompt: `My database queries are causing significant slowdowns in my app, and I've implemented the basic optimizations my AI suggested, but performance is still poor. I need an expert to review my database schema and query patterns to identify the real issues.` **DevOps and Deployment Problems** For complex deployment, CI/CD, or infrastructure issues that require hands-on expertise and real-time troubleshooting. Sample prompt: `My Docker containers are failing to deploy on AWS ECS with cryptic error messages. I've followed AI-generated solutions but nothing works. I need someone to walk through the deployment process with me and identify what's going wrong.`

The Konnektoren MCP server provides comprehensive tools for managing educational content on Germany's interactive language learning platform. Konnektoren specializes in German grammar education through engaging exercises and personalized learning paths, supporting learners from basic (A1-A2) to advanced (C1) proficiency levels. This MCP server offers two main categories of functionality: FAQ management and challenge administration. The FAQ tools enable efficient searching, filtering, and retrieval of frequently asked questions with multi-language support for English, German, and Ukrainian content. The challenge management tools provide extensive capabilities for discovering, creating, and managing educational exercises. These tools support various challenge types including multiple-choice questions, contextual choices, gap-fill exercises, sorting tables, and vocabulary challenges, all organized by CEFR proficiency levels. ## Use Cases ### FAQ Management and Support **FAQ Content Discovery** - Sample prompt: `Show me all available FAQs in German language and provide statistics about the FAQ database` **Targeted FAQ Search** - Sample prompt: `Search for FAQs about German grammar rules for beginners using advanced search with suggestions enabled` **Multi-language FAQ Support** - Sample prompt: `Find FAQs related to "Konjunktiv" in Ukrainian language and limit results to 5 entries` ### Challenge Discovery and Learning Path Development **Level-Based Challenge Exploration** - Sample prompt: `Get an overview of all A1 level challenges and then show me detailed information for the first 3 challenges` **Challenge Content Search** - Sample prompt: `Search for German grammar challenges about "Akkusativ" for intermediate level B1 learners with relevance scoring` **Learning Progress Tracking** - Sample prompt: `Find challenges related to "Adjektive" and get suggestions for related search terms to build a comprehensive learning module` ### Educational Content Creation **Challenge Type Exploration** - Sample prompt: `Show me all available challenge types with their YAML examples, then provide the detailed schema for multiple-choice challenges` **Custom Challenge Development** - Sample prompt: `Create a challenge URL from this YAML content: "!multiple-choice\ntitle: German Articles\nquestion: Choose the correct article for 'Haus'\noptions: ['der', 'die', 'das']\ncorrect: 2"` **Content Creation Inspiration** - Sample prompt: `Provide me with creative suggestions and ideas for generating new German grammar challenges for intermediate learners` ### Advanced Educational Workflows **Comprehensive Course Planning** - Sample prompt: `Get challenge generation suggestions, then search for existing B2 level challenges about "Passiv", and create a gap-fill exercise to complement the existing content` **Multi-modal Content Integration** - Sample prompt: `Search for FAQ entries about learning methodology and find contextual-choice type challenges to create a blended learning experience` **Quality Assurance and Content Review** - Sample prompt: `Get detailed information for challenges with IDs 'grammar-101' and 'vocabulary-basic-01', then check the challenge types overview to ensure content consistency`

This MCP server provides comprehensive documentation search and retrieval capabilities, enabling users to efficiently find and access technical documentation from both public and private sources. The server focuses on making development resources easily discoverable and readable through intelligent search functionality. The main functionality centers around two complementary tools: documentation search across web, GitHub, and private repositories, and URL content reading that converts web content into markdown format. This combination allows for seamless discovery and consumption of technical documentation, making it particularly valuable for developers, technical writers, and teams working with complex codebases. The server supports both public documentation searches across widely available resources and private documentation searches within proprietary repositories and PDF documents, providing flexibility for both open-source and enterprise environments. ## Use Cases **Technical Documentation Research** When developers need to find specific implementation details or API references for libraries and frameworks they're working with. Sample prompt: `Find documentation for React hooks useState and useEffect with examples of how to manage component state` **Private Codebase Documentation Access** For teams working with internal documentation stored in private repositories or PDF files that need to be quickly searchable and accessible. Sample prompt: `Search our private documentation for authentication implementation guidelines using our internal SSO system` **API Integration Research** When integrating with third-party services and needing to locate specific endpoint documentation, authentication methods, or SDK usage examples. Sample prompt: `Find Stripe payment API documentation specifically for handling subscription webhooks and event processing` **Framework Migration Planning** For developers evaluating or migrating between different frameworks who need to compare documentation and implementation approaches. Sample prompt: `Search for Next.js 13 app router documentation and compare it with pages router implementation patterns` **Content Reading and Analysis** After finding relevant documentation URLs, users need to read and analyze the full content in a structured markdown format for better comprehension. Sample prompt: `Read the content from this GitHub documentation URL: https://docs.github.com/en/actions/creating-actions/creating-a-composite-action and format it as markdown` **Cross-Repository Documentation Search** For large organizations with documentation scattered across multiple repositories, enabling unified search across all sources. Sample prompt: `Search both public and private sources for Docker containerization best practices specific to Node.js applications`