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Ollama-MCP Bridge WebUI

@Rkm1999

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

Rkm1999

关于 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 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Ollama-MCP Bridge WebUI 工具

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概览

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.

常见问题

1

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.

2

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.

3

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.

4

What MCP servers are bundled?

The bridge includes Filesystem, Brave Search, and Sequential Thinking servers by default, configured in `bridge_config.json`.

5

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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