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MCP verified MIT Self-run

Ollama MCP Bridge WebUI

mcp-rkm1999-ollama-mcp-bridge-webui · by Rkm1999

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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Install

$ agentstack add mcp-rkm1999-ollama-mcp-bridge-webui

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
stale · 1y ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Ollama-MCP Bridge WebUI

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.

Features

  • 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

Setup

Automatic Installation

The easiest way to set up the bridge is to use the included installation script:

./install.bat

This script will:

  1. Check for and install Node.js if needed
  2. Check for and install Ollama if needed
  3. Install all dependencies
  4. Create the workspace directory (../workspace)
  5. Set up initial configuration
  6. Build the TypeScript project
  7. Download the Qwen model for Ollama

After running the script, you only need to:

  1. Add your API keys to the .env file (the $VARIABLE_NAME references in the config will be replaced with actual values)

Manual Setup

If you prefer to set up manually:

  1. Install Ollama from ollama.com/download
  2. Pull the Qwen model: ollama pull qwen2.5-coder:7b-instruct-q4_K_M
  3. Install dependencies: npm install
  4. Create a workspace directory: mkdir ../workspace
  5. Configure API keys in .env
  6. Build the project: npm run build

Configuration

The bridge is configured through two main files:

1. bridge_config.json

This file defines MCP servers, LLM settings, and system prompt. Environment variables are referenced with $VARIABLE_NAME syntax.

Example:

{
  "mcpServers": {
    "filesystem": {
      "command": "node",
      "args": [
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/node_modules/@modelcontextprotocol/server-filesystem/dist/index.js",
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/../workspace"
      ],
      "allowedDirectory": "To/Your/Directory/Ollama-MCP-Bridge-WebUI/../workspace"
    },
    "brave-search": {
      "command": "node",
      "args": [
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/node_modules/@modelcontextprotocol/server-brave-search/dist/index.js"
      ],
      "env": {
        "BRAVE_API_KEY": "$BRAVE_API_KEY"
      }
    },
    "sequential-thinking": {
      "command": "node",
      "args": [
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/node_modules/@modelcontextprotocol/server-sequential-thinking/dist/index.js"
      ]
    }
  },
  "llm": {
    "model": "qwen2.5-coder:7b-instruct-q4_K_M",
    "baseUrl": "http://localhost:11434",
    "apiKey": "ollama",
    "temperature": 0.7,
    "maxTokens": 8000
  },
  "systemPrompt": "You are a helpful assistant that can use various tools to help answer questions. You have access to three main tool groups: 1) Filesystem operations - for working with files and directories, 2) Brave search - for finding information on the web, 3) Sequential thinking for complex problem-solving. When a user asks a question that requires external information, real-time data, or file manipulation, you should use a tool rather than guessing or using only your pre-trained knowledge."
}

2. .env file

This file stores sensitive information like API keys:

# Brave Search API key
BRAVE_API_KEY=your_brave_key_here

The bridge will automatically replace $BRAVE_API_KEY in the configuration with the actual value from your .env file.

Usage

Starting the Bridge

Simply run:

./start.bat

This will start the bridge with the web interface.

Web Interface

Open http://localhost:8080 (or the port shown in the console) in your browser to access the web interface.

License

MIT License - See LICENSE file for details

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.