Which LLM model is used by default?

The default model is `qwen2.5-coder:7b-instruct-q4_K_M`, as shown in the `bridge_config.json` example.

How do I configure API keys?

Add your API keys to the `.env` file. The `$VARIABLE_NAME` references in the configuration will be replaced with actual values from the `.env` file.

What credentials does it need?

It reads `BRAVE_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Ollama MCP Server

A web interface connecting local Ollama LLMs to Model Context Protocol (MCP) servers. Enables open-source models to use file operations, web search

Local serverstdioTypeScript

What is the Ollama MCP Server?

A web interface connecting local Ollama LLMs to Model Context Protocol (MCP) servers. Enables open-source models to use file operations, web search, and reasoning

The short version

A TypeScript implementation that connects local LLMs (via Ollama) to Model Context Protocol (MCP) servers with a web interface. This bridge allows open-source models to use the same tools and capabilities as Claude, enabling powerful local AI assistants that run entirely on your own hardware.

Multi-MCP Integration — Connect multiple MCP servers simultaneously
Tool Detection — Automatically identifies which tool to use based on queries
Web Interface — Clean UI with collapsible tool descriptions
Comprehensive Toolset — Filesystem, web search, and reasoning capabilities

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

Variable	Description	Required
BRAVE_API_KEY	Credential the server authenticates with.	Yes

Frequently asked questions

Node.js and Ollama are checked during automatic installation. The bridge also requires the Qwen model and npm dependencies installed manually or via the script.

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