Pymcp
byChaosXu
0Provides a Model Context Protocol endpoint for integrating custom functionalities and large language models.
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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.
Características Principales
- 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
Casos de Uso
- 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