Ollama-MCP Bridge WebUI

Name: Ollama-MCP Bridge WebUI
Author: Rkm1999

@Rkm1999

Ollama-MCP Bridge WebUI について

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 #llm #mcp #web-interface

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

Rkm1999

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概要

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.

FAQ from Ollama-MCP Bridge WebUI

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.

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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