MCP LLM Bridge

What is MCP LLM Bridge?

MCP LLM Bridge is a tool that connects Model Context Protocol (MCP) servers to OpenAI-compatible large language models (LLMs) like Ollama, facilitating seamless communication between them.

How to use MCP LLM Bridge?

To use MCP LLM Bridge, follow these steps:

1. Install the necessary components using the provided installation script.
2. Clone the repository and navigate to the project directory.
3. Set up a virtual environment and install the required packages.
4. Configure the bridge parameters in the main Python file to connect to your MCP server and LLM.

Key features of MCP LLM Bridge?

• Connects MCP servers to OpenAI-compatible LLMs.
• Supports any endpoint implementing the OpenAI API specification.
• Easy installation and setup process.

Use cases of MCP LLM Bridge?

1. Integrating custom LLMs with MCP servers for enhanced functionality.
2. Facilitating communication between different AI models and protocols.
3. Enabling developers to test and deploy LLMs in various environments.

FAQ from MCP LLM Bridge?

• What is the license for MCP LLM Bridge?

MCP LLM Bridge is licensed under the MIT license.

• Can I contribute to the project?

Yes! Contributions are welcome through pull requests.

• What programming language is used for MCP LLM Bridge?

The project is developed in Python.