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Awesome-MCP-Server
Eine kuratierte Zusammenstellung von Server (Modellkontextprotokoll) (MCP), die von Waqas aus verschiedenen Quellen zusammengestellt wurden, darunter Chathub und MCPservers.org
3 years
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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
📋 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
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
- 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.
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

user_FsRcqpqP
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.