MCP-OpenLLM
by getStRiCtd
LangChain wrapper for seamless integration with different MCP-servers and open-source large language models (LLMs). You can also use LangChain communities models.
Last updated: N/A
What is MCP-OpenLLM?
MCP-OpenLLM is a LangChain wrapper designed to facilitate easy integration with various MCP servers and open-source large language models (LLMs). It allows users to leverage the power of LangChain with different LLMs.
How to use MCP-OpenLLM?
The README provides limited usage information. However, it suggests using it as a LangChain wrapper for Huggingface models. Further documentation or examples would be needed to fully understand the integration process.
Key features of MCP-OpenLLM
LangChain integration
MCP server compatibility
Open-source LLM support
Huggingface model wrapper
Use cases of MCP-OpenLLM
Building AI applications with LangChain and open-source LLMs
Connecting LangChain to MCP servers
Experimenting with different LLMs within a LangChain framework
Rapid prototyping of LLM-powered applications
FAQ from MCP-OpenLLM
What is MCP?
What is MCP?
The README refers to MCP servers, likely referring to Model Compute Platform servers, but doesn't define it. Further research is needed to understand its specific role in this context.
Which MCP servers are supported?
Which MCP servers are supported?
The README doesn't specify which MCP servers are supported. Testing with CloudFare Remote MCP server is planned.
How do I install MCP-OpenLLM?
How do I install MCP-OpenLLM?
The README doesn't include installation instructions. Check the repository for setup guides.
Can I use this with other LangChain components?
Can I use this with other LangChain components?
Yes, as it's a LangChain wrapper, it should be compatible with other LangChain components.
Where can I find examples?
Where can I find examples?
The README doesn't link to examples. Check the repository for example notebooks or scripts.