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Free your data

Project description

An MCP server for extracting personal data from many services: Amazon order history, Garmin activity stats, Zillow favorites, and more.

It works with Claude Code, LM Studio, Gemini CLI, and many more.

Screenshot of Claude Code using Remote Browser MCP

Quickstart

Run Chrome Fleet, note its service address (e.g. http://192.168.1.2:8300), set it as CHROMEFLEET_URL, then start this MCP server:

export CHROMEFLEET_URL=http://192.168.1.1:8300
docker run -p 23456:23456 -e CHROMEFLEET_URL ghcr.io/remotebrowser/mcp

Alternative ways to run it:

Docker Compose
services:
  remotebrowser-mcp:
    image: ghcr.io/remotebrowser/mcp
    ports:
      - "23456:23456"
    environment:
      - CHROMEFLEET_URL
    restart: unless-stopped
Inline podman
export CHROMEFLEET_URL=http://192.168.1.1:8300
podman run -p 23456:23456 -e CHROMEFLEET_URL ghcr.io/remotebrowser/mcp
Run with Python

You'll need uv with Python >= 3.11. After cloning this repo:

uv run -m uvicorn getgather.main:app --port 23456

Connect to MCP clients

Standard config works with most tools:

{
  "mcpServers": {
    "remotebrowser-mcp": {
      "url": "http://127.0.0.1:23456/mcp"
    }
  }
}
Claude Code

Use the Claude Code CLI to add the MCP server:

claude mcp add --transport http remotebrowser-mcp http://localhost:23456/mcp
Claude Desktop

Follow the MCP install guide, use the standard config above.

Gemini CLI

Follow the MCP install guide, use the standard config above.

LM Studio

Go to Program in the right sidebar -> Install -> Edit mcp.json. Use the standard config above.

VS Code

Follow the MCP install guide, use the standard config above.

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