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Model Context Protocol (MCP)
MIT8.2K starsFreeMIT
Open protocol for connecting AI models to external tools and data sources.
About
The Model Context Protocol is an open standard for connecting AI models to external tools, data sources, and services. Think of it as USB-C for AI — a universal interface that lets any model talk to any tool.
MCP defines a simple JSON-RPC protocol for tool discovery, execution, and result handling. It's supported by Anthropic, and integrated into Claude Code, Cursor, and a growing ecosystem of MCP servers.
Features
- Universal tool interface for AI models
- JSON-RPC based protocol
- Tool discovery and capability negotiation
- Streaming support for long-running tools
- Server ecosystem with 100+ integrations
- SDKs for Python, TypeScript, and more
Use cases
- Connecting agents to databases, APIs, and services
- Building reusable tool servers
- Standardizing tool interfaces across models
- Local-first agent integrations
Alternatives
Custom tool implementationsOpenAPI/Swagger
Try Model Context Protocol (MCP)
Visit the official website to get started.
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