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MCP-OpenLLM

@getStRiCtd

Repository

About MCP-OpenLLM

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

Basic information

Category

Developer Tools

License

MIT license

Runtime

python

Transports

stdio

Publisher

getStRiCtd

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Comments

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