MCP Servers Collection - MCP Server

🌐 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

<table> <tr> <td align="center"><a href="https://github.com/github/github-mcp-server">GitHub</a> The official GitHub MCP implementation</td> <td align="center"><a href="https://github.com/e2b-dev/mcp-server">E2B</a> Secure sandboxed code execution</td> <td align="center"><a href="https://github.com/chroma-core/chroma-mcp">Chroma</a> Vector database & embeddings</td> </tr> <tr> <td align="center"><a href="https://github.com/tavily-ai/tavily-mcp">Tavily</a> AI-optimized search engine</td> <td align="center"><a href="https://github.com/exa-labs/exa-mcp-server">Exa</a> AI-native search platform</td> <td align="center"><a href="https://zapier.com/mcp">Zapier</a> 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">LiteMCP</a> Streamlined TypeScript development kit</td> <td align="center"><a href="https://github.com/QuantGeekDev/mcp-framework">mcp-framework</a> High-performance TypeScript implementation</td> </tr> <tr> <td align="center"><a href="https://github.com/oatpp/oatpp-mcp">oatpp-mcp</a> C++ framework implementing MCP</td> <td align="center"><a href="https://github.com/centralmind/gateway">centralmind/gateway</a> AI-powered database tool generation</td> </tr> </table>

Maintained with ❤️ by contributors to the MCP ecosystem