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MCP-OpenLLM

@getStRiCtd

关于 MCP-OpenLLM

LangChain wrapper for seamless integration MCP-servers with different open-source large language models from transformers library.

基本信息

分类

开发工具

许可证

MIT license

运行时

python

传输方式

stdio

发布者

getStRiCtd

配置

暂无标准配置

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代码仓库

工具

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概览

What is MCP-OpenLLM?

MCP-OpenLLM is a LangChain wrapper for seamless integration with different MCP servers and open-source large language models (LLMs). Users can also leverage LangChain communities models.

How to use MCP-OpenLLM?

Key features of MCP-OpenLLM

  • LangChain wrapper for MCP servers and open‑source LLMs
  • Supports Huggingface models (roadmap completed)
  • Can use LangChain communities models
  • Designed for seamless model‑server integration

Use cases of MCP-OpenLLM

  • Combine open‑source LLMs with MCP servers via LangChain
  • Use LangChain communities models with MCP infrastructure

FAQ from MCP-OpenLLM

What does MCP-OpenLLM do?

It wraps LangChain to connect different MCP servers with open‑source LLMs, including Huggingface models and LangChain communities models.

Which LLMs does MCP-OpenLLM support?

It supports open‑source LLMs, with Huggingface models currently integrated. It can also use any model from LangChain communities.

What future features are planned?

Planned items include setting transformer model name and type as parameters, and testing with CloudFare remote MCP servers.

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