MCP.so: The Ultimate Hub for Model Context Protocol (MCP) Servers
MCP.so (https://mcp.so/) is the leading community-driven directory for Model Context Protocol (MCP) servers, enabling AI agents like Claude, Cursor, and Windsurf to securely connect with external tools, data sources, and services. As the largest collection of MCP servers, it serves as a vital resource for developers, enterprises, and AI enthusiasts looking to extend the capabilities of their favorite AI clients.
What is MCP?
The Model Context Protocol (MCP) is an open-source standard developed by Anthropic that allows AI systems to interact with external resources (e.g., APIs, databases, file systems) through a secure client-server architecture. MCP servers act as bridges, enabling AI agents to access real-time data, execute tools, and perform actions while maintaining strict security and privacy controls.
Key Features of MCP.so
1. Diverse Collection of MCP Servers
MCP.so hosts a wide range of servers catering to various use cases:
- Development & Tools:
- Git/GitHub/GitLab: Manage repositories, files, and CI/CD pipelines (e.g., GitHub API integration).
- Database Servers: Interact with Redis, PostgreSQL, Milvus (vector databases) for data retrieval and management.
- Browser Automation: Control browsers via Playwright, Puppeteer, or Firecrawl for web scraping and testing.
- AI & Machine Learning:
- Model Integration: Connect to MiniMax, EverArt (image generation), and speech synthesis APIs.
- Code Assistants: Extend IDEs like Cursor, VS Code, or JetBrains with MCP-powered tools (e.g., BlenderMCP for AI-assisted 3D modeling).
- Enterprise & Productivity:
- Cloud Services: Deploy to EdgeOne Pages, Cloudflare Workers, or AWS Bedrock for serverless workflows.
- Collaboration: Integrate with Slack, Flomo (note-taking), or email services (Mailtrap) for seamless team workflows.
- Geospatial & Maps:
- Amap/Baidu Maps: Access location services and APIs for geospatial applications.
2. Security & Standardization
- Secure Architecture: MCP servers enforce 1:1 connections, local authentication, and granular access controls, eliminating the need to share API keys with LLM providers.
- Open Protocol: Built on Anthropic’s MCP, ensuring compatibility with major AI clients like Claude, Cursor, and Windsurf.
3. Community-Driven Ecosystem
- Curated Listings: Features "Featured Servers" and popular tools (e.g., Neon for databases, Perplexity for web search) voted by the community.
- Submission Process: Developers can add their servers via GitHub issues, fostering a growing ecosystem of tools.
4. Client Compatibility
MCP.so highlights compatible AI clients, including:
- Code Editors: Cursor (AI code editor), Windsurf (IDE), Zed (collaborative editor).
- Chat Apps: DeepChat, HyperChat, 5ire (cross-platform assistant).
- Autonomous Agents: Cline, Roo Code (AI dev team in your editor).
Use Cases
- AI Development:
- Build AI agents that interact with databases, file systems, or cloud services (e.g., use Redis MCP for real-time data retrieval in Claude).
- Enterprise Automation:
- Automate workflows with tools like Slack MCP (message management) or AWS KB Retrieval (internal knowledge bases).
- Creative Tools:
- Generate AI art with EverArt MCP or create 3D models via BlenderMCP, all within your favorite AI client.
- Geospatial Applications:
- Integrate Amap/Baidu Maps APIs into AI apps for location-based features (e.g., route planning, place search).
Why Use MCP.so?
- Centralized Discovery: Avoid searching across repositories; find all MCP servers in one place.
- Security-First: Trust in protocols that prioritize data privacy and secure connections.
- Flexibility: Mix and match servers to create custom AI workflows (e.g., combine browser automation with database access).
- Community Support: Leverage user-vetted tools and contribute your own servers to the ecosystem.
Getting Started
- Explore Servers: Browse categories like "AI," "Databases," or "DevOps" to find tools for your project.
- Connect to Clients: Use supported clients (e.g., Cursor, Claude Desktop) to link with MCP servers via their URLs.
- Contribute: Submit your MCP server via GitHub to expand the ecosystem.
MCP.so empowers developers and enterprises to unlock the full potential of AI agents by bridging them with real-world tools and data. Whether you’re building autonomous coding assistants, geospatial apps, or enterprise automation pipelines, MCP.so is your gateway to a more connected AI future. Visit https://mcp.so/ to explore the possibilities today.