
🌐 MCP Servers Collection
A curated compilation of Model Context Protocol (MCP) servers assembled by Waqas from various sources including ChatHub and mcpservers.org
What is MCP Servers Collection?
MCP Servers Collection is a curated compilation of Model Context Protocol (MCP) servers assembled by Waqas from various sources including ChatHub and mcpservers.org.
How to use MCP Servers Collection?
To use the MCP Servers Collection, visit the GitHub repository, where you can explore various implementations and integrations of MCP servers.
Key features of MCP Servers Collection?
- Comprehensive list of enterprise-supported and demonstration implementations.
- Integration tools for various platforms and services.
- Community contributions showcasing diverse applications of MCP.
Use cases of MCP Servers Collection?
- Integrating AI functionalities into applications using MCP servers.
- Utilizing various tools for data retrieval and processing.
- Enhancing productivity through integration with popular platforms like Slack, Google Drive, and AWS.
FAQ from MCP Servers Collection?
- What is the Model Context Protocol (MCP)?
MCP is a protocol designed to facilitate communication between different AI models and services.
- How can I contribute to the MCP Servers Collection?
Contributions can be made by submitting pull requests on the GitHub repository.
- Is there a license for using the MCP Servers Collection?
Yes, the project is maintained under the MIT license.
🌐 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
