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.
Ollama-MCP Bridge WebUI
@Rkm1999
Basic information
About Ollama-MCP Bridge WebUI
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.
Ollama-MCP Bridge WebUI config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryOllama-MCP Bridge WebUI tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Ollama-MCP Bridge WebUI?
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.
How to use Ollama-MCP Bridge WebUI?
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.
Key features of Ollama-MCP Bridge WebUI
- Multi-MCP Integration: Connect multiple MCP servers simultaneously.
- Tool Detection: Automatically selects the right tool for queries.
- Web Interface: Clean UI with collapsible tool descriptions.
- Comprehensive Toolset: Filesystem, web search, and reasoning capabilities.
- Local Execution: Runs entirely on your hardware via Ollama.
- Open-source Models: Uses models like Qwen via Ollama.
Use cases of Ollama-MCP Bridge WebUI
- Querying local files using natural language through the filesystem server.
- Performing web searches with the Brave Search integration.
- Solving complex problems step-by-step with sequential thinking.
- Running a private AI assistant without relying on cloud services.
- Using open-source models with Claude-like tool capabilities.
Frequently asked questions
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 MCP servers are bundled?
The bridge includes Filesystem, Brave Search, and Sequential Thinking servers by default, configured in `bridge_config.json`.
How do I start the bridge?
Run `./start.bat` to start the bridge with the web interface, then open `http://localhost:8080` in your browser.
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