MCP-LLM Bridge
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
what is MCP-LLM Bridge?
MCP-LLM Bridge is a TypeScript implementation that connects local Large Language Models (LLMs) via Ollama to Model Context Protocol (MCP) servers, enabling the use of advanced tools similar to those used by Claude.
how to use MCP-LLM Bridge?
To use the MCP-LLM Bridge, install the Ollama and MCP servers, configure the necessary credentials, and start the bridge. You can then send prompts or commands to interact with your local LLM and leverage MCP capabilities.
key features of MCP-LLM Bridge?
- Multi-MCP support with dynamic tool routing
- Structured output validation for tool calls
- Automatic tool detection based on user input
- Comprehensive logging and error handling
- Full integration with local models for various tasks including web search and email management
use cases of MCP-LLM Bridge?
- Managing files and directories through local commands
- Conducting web searches with Brave Search
- Sending and managing emails via Gmail integration
- Image generation through Flux
- Interacting with GitHub repositories
FAQ from MCP-LLM Bridge?
- How do I set up the MCP-LLM Bridge?
Install Ollama, required MCP servers, set the appropriate credentials, and configure the bridge using
bridge_config.json.
- Can this bridge work with any local LLM?
Yes, as long as the LLM is compatible with the Ollama framework.
- Is it necessary to have an internet connection?
No, once set up, the bridge operates entirely locally, utilizing open-source models.
what is MCP-LLM Bridge?
MCP-LLM Bridge is a TypeScript implementation that connects local Large Language Models (LLMs) via Ollama to Model Context Protocol (MCP) servers, enabling the use of advanced tools similar to those used by Claude.
how to use MCP-LLM Bridge?
To use the MCP-LLM Bridge, install the Ollama and MCP servers, configure the necessary credentials, and start the bridge. You can then send prompts or commands to interact with your local LLM and leverage MCP capabilities.
key features of MCP-LLM Bridge?
- Multi-MCP support with dynamic tool routing
- Structured output validation for tool calls
- Automatic tool detection based on user input
- Comprehensive logging and error handling
- Full integration with local models for various tasks including web search and email management
use cases of MCP-LLM Bridge?
- Managing files and directories through local commands
- Conducting web searches with Brave Search
- Sending and managing emails via Gmail integration
- Image generation through Flux
- Interacting with GitHub repositories
FAQ from MCP-LLM Bridge?
- How do I set up the MCP-LLM Bridge?
Install Ollama, required MCP servers, set the appropriate credentials, and configure the bridge using
bridge_config.json.
- Can this bridge work with any local LLM?
Yes, as long as the LLM is compatible with the Ollama framework.
- Is it necessary to have an internet connection?
No, once set up, the bridge operates entirely locally, utilizing open-source models.