MCP-OpenLLM
@getStRiCtd
About MCP-OpenLLM
LangChain wrapper for seamless integration MCP-servers with different open-source large language models from transformers library.
Config
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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?
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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.
Frequently asked questions
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.
Basic information
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