MCP Directory
The comprehensive directory and information hub for Model Context Protocol (MCP) servers
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables seamless communication between AI models and external data sources, tools, and services. It provides a unified way for AI assistants to access and interact with various systems while maintaining security and consistency.
With MCP, developers can create servers that expose specific capabilities to AI models, allowing them to:
- Access real-time data from databases and APIs
- Execute code and run computations
- Interact with local and cloud services
- Perform specialized tasks through custom tools
Key Benefits
Standardized Integration
Consistent interface for all AI-tool interactions
Enhanced Capabilities
Extend AI models with custom tools and data sources
Security & Control
Fine-grained permissions and secure communication
How to Use MCP?
1. Choose an MCP Client
Start with a compatible AI assistant that supports MCP, such as Claude Desktop or other MCP-enabled applications.
2. Install MCP Servers
Browse our directory to find MCP servers that match your needs, then install them using npm, pip, or other package managers.
3. Configure & Connect
Configure your MCP client to connect to the installed servers, set permissions, and start using enhanced AI capabilities.
How to Find MCP Servers?
Explore Our Comprehensive Directory
Our directory is the most complete collection of MCP servers available. Find servers for:
What's New in MCP?
🎯 Enhanced Security
Latest MCP version includes improved security features with fine-grained permissions and enhanced authentication mechanisms.
🚀 Better Performance
Optimized connection handling and reduced latency for faster communication between AI models and MCP servers.
📚 Growing Ecosystem
New servers added weekly with support for popular tools, APIs, and services. Join the growing MCP community.