MCP LLM Bridge
A Simple bridge from Ollama to a fetch url mcp server
What is 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: Install the necessary components using the provided installation script. Clone the repository and navigate to the project directory. Set up a virtual environment and install the required packages. 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? Integrating custom LLMs with MCP servers for enhanced functionality. Facilitating communication between different AI models and protocols. 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.
As an MCP (Model Context Protocol) server, MCP LLM Bridge enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP LLM Bridge
To use MCP LLM Bridge, follow these steps: Install the necessary components using the provided installation script. Clone the repository and navigate to the project directory. Set up a virtual environment and install the required packages. 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? Integrating custom LLMs with MCP servers for enhanced functionality. Facilitating communication between different AI models and protocols. 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.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP LLM Bridge can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP LLM Bridge provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.