MCP LLM Bridge
by virajsharma2000
The MCP LLM Bridge connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs like Ollama, enabling seamless integration between MCP and various language models. It allows you to leverage the benefits of MCP with the flexibility of different LLMs.
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What is MCP LLM Bridge?
The MCP LLM Bridge is a tool that facilitates communication between MCP servers and LLMs that adhere to the OpenAI API specification. It allows you to use LLMs like Ollama with MCP, enabling context-aware and tool-augmented language model interactions.
How to use MCP LLM Bridge?
To use the bridge, first clone the repository and set up a virtual environment using uv. Install the required dependencies. Then, configure the bridge in src/mcp_llm_bridge/main.py by specifying the MCP server parameters and the LLM configuration, including the API key, model name, and base URL. Ensure your LLM endpoint (e.g., Ollama) is running and accessible. Finally, run the bridge to enable communication between MCP and the LLM.
Key features of MCP LLM Bridge
Connects MCP servers to OpenAI-compatible LLMs
Supports local LLMs like Ollama
Configurable MCP server and LLM parameters
Easy installation and setup
Supports any endpoint implementing the OpenAI API specification
Use cases of MCP LLM Bridge
Integrating local LLMs with MCP workflows
Experimenting with different LLMs in an MCP environment
Building context-aware applications using MCP and LLMs
Creating tool-augmented language model interactions
Bridging the gap between MCP and the OpenAI API ecosystem
FAQ from MCP LLM Bridge
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a framework for managing context and tools in language model interactions.
What LLMs are supported?
What LLMs are supported?
The bridge supports any LLM that implements the OpenAI API specification, including Ollama and OpenAI models.
How do I configure the LLM?
How do I configure the LLM?
The LLM configuration is specified in src/mcp_llm_bridge/main.py, including the API key, model name, and base URL.
Do I need an OpenAI API key?
Do I need an OpenAI API key?
If you are using a local LLM like Ollama, you can use a placeholder API key (e.g., "ollama"). For OpenAI models, you will need a valid API key.
How do I run the MCP server?
How do I run the MCP server?
The README provides instructions on how to configure the MCP server parameters, including the command and arguments to run the server. You need to clone the MCP server repository and specify the correct path to the server executable.