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2025-04-08

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

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🌐 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

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

Flagship Implementations

GitHub
The official GitHub MCP implementation
E2B
Secure sandboxed code execution
Chroma
Vector database & embeddings
Tavily
AI-optimized search engine
Exa
AI-native search platform
Zapier
Connect with 8,000+ apps

Payment Processing

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

Search & Data Retrieval

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.

LiteMCP
Streamlined TypeScript development kit
mcp-framework
High-performance TypeScript implementation
oatpp-mcp
C++ framework implementing MCP
centralmind/gateway
AI-powered database tool generation

Maintained with ❤️ by contributors to the MCP ecosystem

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    Reviews

    1 (1)
    Avatar
    user_FsRcqpqP
    2025-04-17

    I've been using awesome-mcp-servers for a while, and I must say it’s one of the best MCP server solutions out there. WaqasIshaque1 did a fantastic job with this project. The documentation is clear, and the performance is top-notch. Highly recommend it to anyone looking for reliable and efficient MCP server setups. Check it out: https://github.com/WaqasIshaque1/awesome-mcp-servers.