🌐 MCP Servers Collection

A curated compilation of Model Context Protocol (MCP) servers assembled by Waqas from various sources including ChatHub and mcpservers.org

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📋 Table of Contents

• Enterprise-Supported Implementations
• Demonstration Implementations
• Integration Tools
• Community Contributions
• Development Frameworks

🏢 Enterprise-Supported Implementations

Professionally maintained integrations developed by organizations creating production-quality MCP servers for their platforms.

Flagship Implementations

<table> <tr> <td align="center"><a href="https://github.com/github/github-mcp-server"><b>GitHub</b></a><br/>The official GitHub MCP implementation</td> <td align="center"><a href="https://github.com/e2b-dev/mcp-server"><b>E2B</b></a><br/>Secure sandboxed code execution</td> <td align="center"><a href="https://github.com/chroma-core/chroma-mcp"><b>Chroma</b></a><br/>Vector database & embeddings</td> </tr> <tr> <td align="center"><a href="https://github.com/tavily-ai/tavily-mcp"><b>Tavily</b></a><br/>AI-optimized search engine</td> <td align="center"><a href="https://github.com/exa-labs/exa-mcp-server"><b>Exa</b></a><br/>AI-native search platform</td> <td align="center"><a href="https://zapier.com/mcp"><b>Zapier</b></a><br/>Connect with 8,000+ apps</td> </tr> </table>

Payment Processing

• Stripe - Payment processing API integration
• PayPal - Connect with PayPal services through function calling capabilities

Search & Data Retrieval

• Perplexity - Leverage Perplexity's Sonar API for comprehensive web research in conversational AI
• Kagi Search - Web search functionality via Kagi's API
• AWS Documentation - Access and search AWS documentation resources
• Firecrawl - Gather structured web data with Firecrawl

Developer Tools

• Cloudflare - Manage and interact with Cloudflare developer resources including Workers, KV, R2, and D1
• Sentry - The authorized MCP implementation for Sentry
• JetBrains – Enhance your development workflow with JetBrains IDE integration
• CircleCI - Resolve build failures using AI assistance
• Semgrep - Code security scanning with Semgrep

Databases & Storage

• ClickHouse - Interact with your ClickHouse analytical database
• Qdrant - Build semantic memory capabilities using the Qdrant vector database
• Neo4j - Graph database connectivity with schema management and Cypher query capabilities
• Milvus - Vector database operations for searching and managing embedded data
• Convex - Examine and query applications built on the Convex platform
• Aiven - Coordinate with Aiven database services

Browser & Web Automation

• Hyperbrowser - Empower AI agents with Hyperbrowser's simplified browser automation platform
• Browserbase - Cloud-based browser interactions for navigation, data extraction, and form completion
• Oxylabs - Web data extraction with support for dynamic rendering and structured data parsing

AWS Ecosystem

• AWS S3 - Retrieve various objects from S3 storage including PDF documents
• AWS Bedrock KB - Access Amazon Bedrock Knowledge Bases through natural language queries
• AWS Core - Foundation AWS MCP functionality for prompt interpretation and server administration

Productivity & Management

• Azure DevOps - Interface with Azure DevOps services for AI assistant integrations
• Box - Content management platform integration through Box AI
• Xero - Access and manage accounting information in your business
• Dart - Project and task management with Dart's AI-powered platform

Data & Web Services

• Apify - Access 3,000+ ready-made tools for extracting web data across multiple platforms
• Thirdweb - Blockchain connectivity supporting 2,000+ chains for data access and smart contract operations
• Axiom - Analyze logs, traces, and operational data using natural language
• Make - Transform Make workflows into AI-accessible tools
• Fewsats - Secure purchasing capabilities for AI assistants via Fewsats
• gotoHuman - Human oversight platform for AI system approvals
• Unstructured - Unstructured data processing pipeline management
• YepCode - Protected LLM-generated code execution with package management support

🧪 Demonstration Implementations

These implementations showcase MCP features and highlight capabilities of the TypeScript and Python development kits.

Core Functionalities

• GitHub - Source code management with repository operations and API functionality
• Filesystem - Protected file system operations with permission controls
• Memory - Persistent information storage using knowledge graph architecture
• Git - Version control operations for repository management

Database Connectors

• PostgreSQL - Schema-aware database connectivity with query capabilities
• Sqlite - Lightweight database operations with analytics capabilities

Web & Search

• Brave Search - Internet and local content discovery via Brave's API
• Fetch - Web content acquisition optimized for language model processing
• Puppeteer - Automated browser control and content extraction
• Baidu AI Search - Chinese search engine integration via Baidu Cloud

Cloud & Services

• Slack - Team communications platform integration
• Google Drive - Cloud storage document management and discovery
• AWS Resources - AWS service management through Python code execution
• Azure ADX - Data Explorer database querying and analysis
• GitLab - Project collaboration through GitLab API
• Google Maps - Geographic services including directions and location information
• Sentry - Error monitoring and issue analysis
• Sequential Thinking - Structured problem-solving through progressive thought patterns

🔌 Integration Tools

Tools and clients for interacting with MCP servers.

IDE Integrations

• Continue - VS Code extension providing AI assistance and chat capabilities
• Zed - Collaborative coding environment from Atom's creators
• mcphub.nvim - Neovim plugin for MCP server interaction
• codemirror-mcp - Text editor integration with MCP resource linking

Clients & Interfaces

• LibreChat - Versatile AI interface supporting various providers like OpenAI, Anthropic, Google, and Ollama
• mcp-cli - Command-line exploration tool for MCP servers
• MCP-Bridge - Adapter enabling MCP usage in existing OpenAI ecosystem applications
• mcp-client - Multi-model client supporting major AI providers
• MCP-Chatbot - Terminal-based AI interface with tool server integration
• genkit - Framework for AI agent construction and data processing
• MCP-Connect - Bridge for cloud AI services to connect with local MCP servers
• Nerve - Agent creation and execution platform for MCP integration

👥 Community Contributions

Diverse implementations showcasing MCP applications across various domains, developed and maintained by the community.

Database Integrations

• MongoDB Lens - Comprehensive MongoDB database integration
• BigQuery - Google BigQuery integration with metadata exploration
• MySQL - Relational database management with access control
• Snowflake - Data warehousing solution with bidirectional access
• MariaDB - Open-source database integration with security features
• MSSQL - Microsoft SQL Server database connectivity

DevOps & Infrastructure

• Kubernetes - Container orchestration management for clusters
• Docker - Container lifecycle management and monitoring
• AWS S3 - Amazon Simple Storage Service document retrieval
• Azure DevOps - Microsoft development platform connectivity

Productivity & Knowledge Management

• Kagi - Privacy-focused web search functionality
• Notion - Personal knowledge management system integration
• Apple Notes - Apple's note-taking application connectivity
• Obsidian - Knowledge base system integration through REST API
• Excel - Spreadsheet creation and manipulation tools
• Todoist - Task management platform API integration
• Linear - Project management platform integration

AI & Search

• OpenAI - Cross-model communication between LLM systems
• Minima - Self-hosted retrieval augmented generation implementation
• WebSearch-MCP - Independent web search service
• mcp-local-rag - Local retrieval and search using lightweight tools

Specialized Tools

• Blender - 3D modeling and scene creation with natural language
• browser-use - Containerized web browser automation solution
• Skyvern - Browser control and automation for AI systems
• mac-messages-mcp - Apple Messages conversation access
• Pushover - Notification delivery service integration
• QGIS - Geographic information system with AI-assisted capabilities

🛠 Development Frameworks

Tools for building your own MCP servers.

<table> <tr> <td align="center"><a href="https://github.com/wong2/litemcp"><b>LiteMCP</b></a><br/>Streamlined TypeScript development kit</td> <td align="center"><a href="https://github.com/QuantGeekDev/mcp-framework"><b>mcp-framework</b></a><br/>High-performance TypeScript implementation</td> </tr> <tr> <td align="center"><a href="https://github.com/oatpp/oatpp-mcp"><b>oatpp-mcp</b></a><br/>C++ framework implementing MCP</td> <td align="center"><a href="https://github.com/centralmind/gateway"><b>centralmind/gateway</b></a><br/>AI-powered database tool generation</td> </tr> </table>

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<p align="center"> _{Maintained with ❤️ by contributors to the MCP ecosystem} </p>