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Model Context Protocol

bysriharsha-gvkss
0
Data Science & ML
API Development
Developer Tools

Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.

About

Model Context Protocol (MCP) provides a Python framework for easily creating and deploying servers that expose custom tools and functions to AI assistants. It leverages streamable HTTP for efficient communication and supports mounting multiple distinct MCP servers within a single FastAPI application, enabling modular and scalable integration of external capabilities into AI-driven workflows.

Key Features

  • Expose tools and functions over HTTP using the MCP protocol
  • 0 GitHub stars
  • Connect tools to AI assistants like Cursor
  • Utilize streamable HTTP for data transport
  • Mount multiple MCP servers in a FastAPI application
  • Debug servers using the MCP Inspector CLI

Use Cases

  • Integrating custom business logic and data sources with AI chatbots
  • Providing real-time external capabilities to AI agents
  • Developing scalable tool servers for large language model applications
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