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Sample

Exposes data, tools, and templates to large language model applications via the Model Context Protocol.

关于

The Model Context Protocol (MCP) creates a bridge between large language model (LLM) applications and external context sources. This sample demonstrates how to build a functional MCP server using Python's MCP SDK. It enables the exposure of various components to LLMs: data provision through resources, action execution via tools, and template management using prompts, allowing LLMs to dynamically interact with external systems and information.

主要功能

  • Utilizes a Python SDK for straightforward MCP server creation
  • Facilitates modularization of LLM interactions into distinct components
  • 0 GitHub stars
  • Exposes data (resources), actions (tools), and templates (prompts) to LLMs
  • Supports dynamic capability advertising and updates for server features
  • Provides a built-in development inspector for interactive testing and debugging

使用案例

  • Integrating custom calculations or external API calls for LLMs to execute
  • Providing dynamic, context-specific data or file content to LLM applications
  • Creating reusable interaction templates and command shortcuts for LLM-driven workflows
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