A lightweight, performant protocol for connecting AI applications to external data sources and services. Built for speed, simplicity, and scalability.
Get Started Learn MoreThe Model Context Protocol enables AI applications to access external data sources through a standardized interface. It provides secure, efficient communication between AI models and various data providers.
Minimal overhead protocol designed for high-performance AI applications. Optimized for speed and efficiency.
Built-in authentication and authorization mechanisms ensure safe data access and user privacy.
Clean, straightforward API design makes integration easy for developers and AI applications.
npm install @modelcontextprotocol/client
const client = new MCPClient({
transport: 'stdio',
command: 'mcp-server'
});
Connect your AI application to external data sources and services through the standardized MCP interface.
View ServersA growing ecosystem of MCP servers provides access to various data sources and services.
| Server | Data Source | Status |
|---|---|---|
| File System | Local files | Stable |
| GitHub | Repository data | Beta |
| Database | SQL databases | Stable |
| Web Search | Search results | Alpha |
Building an MCP server is straightforward with our development tools and comprehensive documentation.
import { MCPServer } from '@mcp/server';
const server = new MCPServer({
name: 'my-server',
version: '1.0.0'
});
server.setRequestHandler('ping', async () => {
return { message: 'pong' };
});
server.start();
Connect with developers building the future of AI-data integration through the Model Context Protocol.
The MCP ecosystem thrives on community contributions. Here's how you can participate:
Help improve the protocol, build new servers, or enhance documentation.
Tell others about your MCP implementations and use cases.
Join discussions and learn from other developers in the community.
Get Started