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Pymcp

Provides a Model Context Protocol endpoint for integrating custom functionalities and large language models.

소개

Pymcp is a Python-based server designed to implement the Model Context Protocol (MCP). It serves as a foundational example demonstrating how to expose custom functions, such as simple integer addition, and integrate with external Large Language Models (LLMs) like Qwen/Qwen3-8B. This tool facilitates the creation of standardized API endpoints for AI-driven services, offering a robust platform for testing interactions with real LLMs and building applications with frameworks like LangChain agents.

주요 기능

  • Implements the Model Context Protocol (MCP) server
  • Supports testing with LangChain agents
  • 0 GitHub stars
  • Provides an example of exposing custom functions (e.g., integer sum)
  • Demonstrates integration with external Large Language Models (LLMs)
  • Utilizes `uv` for streamlined dependency management

사용 사례

  • Integrating and testing large language models within a standardized API framework
  • Developing and deploying custom AI services via the Model Context Protocol
  • Building and testing applications that utilize LangChain agents to interact with MCP endpoints
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