MCP-OpenLLM
LangChain wrapper for seamless integration MCP-servers with different open-source large language models from transformers library.
what is MCP-OpenLLM?
MCP-OpenLLM is a Python wrapper designed for seamless integration with various MCP-servers and open-source large language models (LLMs) from the transformers library.
how to use MCP-OpenLLM?
To use MCP-OpenLLM, install the package via pip, configure your MCP-server settings, and utilize the provided functions to interact with different LLMs.
key features of MCP-OpenLLM?
- Easy integration with multiple MCP-servers
- Support for various open-source LLMs
- Simplified API for model interaction
use cases of MCP-OpenLLM?
- Deploying LLMs in a cloud environment using MCP-servers.
- Facilitating research on language models by providing a unified interface.
- Enabling developers to quickly prototype applications using LLMs.
FAQ from MCP-OpenLLM?
- What is an MCP-server?
An MCP-server is a server that implements the Model Context Protocol, allowing for efficient communication with large language models.
- Is MCP-OpenLLM free to use?
Yes! MCP-OpenLLM is open-source and available under the MIT license.
- Which LLMs are supported?
MCP-OpenLLM supports various models from the transformers library, including popular ones like GPT and BERT.
MCP-OpenLLM
LangChain wrapper for seamless integration with different MCP-servers and open-source large language models (LLMs). You can use LangChain communities models too.
Roadmap
- Implement LangChain wrapper for Huggingface models
- Set transformer model name and type as params
- Test CloudFare Remote MCP server