What dependencies are required?
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.
@Rkm1999
基本情報
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 tools similar to commercial AI assistants - all running privately on your own hardware.
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A TypeScript implementation that connects local LLMs (via Ollama) to Model Context Protocol (MCP) servers with a web interface. It 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.
Run the included installation script (./install.bat) for automatic setup, then add your API keys to the .env file. Start the bridge with ./start.bat, and open http://localhost:8080 in your browser to access the web interface.
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.
The default model is `qwen2.5-coder:7b-instruct-q4_K_M`, as shown in the `bridge_config.json` example.
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.
The bridge includes Filesystem, Brave Search, and Sequential Thinking servers by default, configured in `bridge_config.json`.
Run `./start.bat` to start the bridge with the web interface, then open `http://localhost:8080` in your browser.
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