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 simplify the integration of various MCP-servers and open-source large language models (LLMs). It allows users to leverage LangChain's capabilities with different LLMs.
How to use MCP-OpenLLM?
The README provides limited usage information. Currently, it mentions implementing a LangChain wrapper for Huggingface models. Further documentation or examples would be needed for detailed usage instructions.
Key features of MCP-OpenLLM
LangChain integration
MCP-server compatibility
Open-source LLM support
Huggingface model wrapper (in progress)
Use cases of MCP-OpenLLM
Building AI applications with LangChain
Connecting to MCP servers for LLM inference
Experimenting with different open-source LLMs
Integrating Huggingface models into LangChain workflows
FAQ from MCP-OpenLLM
What is MCP?
What is MCP?
The README references MCP-servers, likely referring to Model Compute Providers. More context is needed to provide a definitive answer.
Which LLMs are supported?
Which LLMs are supported?
The README mentions support for open-source LLMs and LangChain community models, but doesn't list specific models.
How do I install MCP-OpenLLM?
How do I install MCP-OpenLLM?
The README doesn't provide installation instructions. Refer to the repository for further documentation.
Is CloudFare Remote MCP server supported?
Is CloudFare Remote MCP server supported?
Support for CloudFare Remote MCP server is on the roadmap but not yet implemented.
Where can I find examples?
Where can I find examples?
The README doesn't provide examples directly, but mentions inspiration from a Phil Schmid article (https://www.philschmid.de/mcp-example-llama).