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`