The Ollama MCP Bridge, developed by Jonigl for the mcp platform, is a free Python 3.10+ application available as a Python package or container. It functions as an API layer and proxy service, linking an Ollama server with various Model Context Protocol (MCP) servers. This bridge allows local Large Language Models to access external capabilities, enhancing their utility for developers building AI agents and custom chatbots. It aims to unify tool access for Ollama clients.

What does Ollama MCP Bridge connect to?

The Ollama MCP Bridge establishes crucial connections between an Ollama server and multiple Model Context Protocol (MCP) servers. It operates as an API layer, proxy, or bridge service, strategically positioned directly in front of the Ollama API. This architecture enables local Large Language Models running on Ollama to interact with a diverse array of external services and tools. It effectively creates an expanded operational environment for advanced AI applications and agents, extending their functional reach.

Core features and tools

The bridge does not expose specific callable tools by name. Instead, it aggregates all tool definitions from connected MCP servers at startup, making them available to Ollama models. These tools are integrated into the /api/chat endpoint of the Ollama API. The bridge also offers its own dedicated endpoints: /health for status monitoring and /version for identifying the current build. It supports streaming responses and a "thinking mode" for more dynamic interactions.

Who is it for?

The primary audience for the Ollama MCP Bridge consists of developers working with local Large Language Models (LLMs). This includes those building powerful local LLM applications, AI agents, and custom chatbots. It is designed for individuals who need to extend the functionality of their local LLMs by integrating external tools and services through the Model Context Protocol. Skip this if you are not developing local LLM applications requiring external tool integration.

How to get started

No credentials are required for the bridge itself. The underlying Model Context Protocol supports stdio or streamable HTTP transport protocols.

Use cases

• Enabling existing Ollama clients to utilize MCP tools without requiring client-side code modifications, by simply re-pointing the client to the bridge.
• Facilitating the creation of AI agents that can interact with various external tools, such as filesystem operations, web search, or GitHub, through local LLMs.
• Integrating multiple MCP servers to present a unified set of tools to an Ollama model.

The Ollama MCP Bridge by Jonigl provides a crucial link for local LLM development, connecting Ollama to diverse external tools via MCP servers. It enhances the functionality of local AI applications by unifying tool access and supporting existing Ollama clients. This bridge is a valuable utility for developers extending LLM capabilities.