Ollama MCP Bridge FAQs

Question 1

What are the key features of the Ollama MCP Bridge?

Accepted Answer

Key features include multi-MCP support with dynamic tool routing, structured output validation for tool calls, automatic tool detection from user prompts, robust process management for Ollama, and detailed logging and error handling.

Question 2

What is the Ollama MCP Bridge?

Accepted Answer

The Ollama MCP Bridge connects local Large Language Models running through Ollama to Model Context Protocol (MCP) servers. This allows your LLM to use external tools like web search, filesystem access, and more.

Question 3

What are MCP servers and what tools do they provide?

Accepted Answer

MCP servers provide various capabilities such as filesystem operations, Brave web search, GitHub interactions, Google Drive & Gmail integration, memory/storage, and image generation. These tools enhance the functionality of your LLM.

Question 4

Which LLMs and MCPs are currently supported?

Accepted Answer

The bridge currently supports any Ollama-compatible model (using Qwen 2.5 7B by default) and a variety of MCPs including FileSystem, Brave Search, GitHub, Memory, Flux image generation, and Gmail & Drive.

Question 5

How do I set up and use the Ollama MCP Bridge?

Accepted Answer

First, install Ollama and your desired model. Then, install the desired MCP servers using npm. Configure credentials and the bridge using `bridge_config.json`. Finally, start the bridge and interact with your LLM using commands like `list-tools` and regular text prompts.

Ollama MCP Bridge

About

Key Features

Use Cases