ai-machine-bridge
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ai-machine-bridgeList files in ~/Downloads modified today"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Machine Bridge
A small, self-hosted bridge that lets an AI client operate your own computer through authenticated tools. It exposes the same capabilities over two interfaces:
MCP (Streamable HTTP):
/mcpREST/OpenAPI:
/tools/calland/openapi.json, suitable for Custom GPT Actions and generic HTTP clients
Included tools: files (read/write/edit/delete/list/search), playwright (persistent Chromium navigation and interaction), server_admin (shell/service/root-level machine administration when the service itself runs as root/Administrator), and tools (capability discovery).
Security warning
This server can intentionally provide full control of the host. Treat its bearer token like a root password. Do not expose port 8765 directly to the public internet. Put it behind HTTPS and an authenticated/private tunnel. Rotate the token if it is ever disclosed.
Related MCP server: agentic-remote-pc
Install
Python 3.11+ is required. For full machine control, run the installer from an elevated shell:
sudo python3 scripts/install.py # Linux/macOSOn Windows, open PowerShell as Administrator and run python scripts\install.py.
The installer creates an isolated virtualenv, installs Chromium, installs a persistent boot service (systemd / launchd / Scheduled Task), generates a random bearer token, starts the bridge, and prints the local REST/MCP endpoints and token.
For an AI agent performing installation, follow INSTALL_FOR_LLM.md exactly.
Local test
TOKEN='the token printed by the installer'
curl -H "Authorization: Bearer $TOKEN" http://127.0.0.1:8765/health
curl -H "Authorization: Bearer $TOKEN" http://127.0.0.1:8765/tools
curl -X POST -H "Authorization: Bearer $TOKEN" -H 'Content-Type: application/json' \
http://127.0.0.1:8765/tools/call \
-d '{"tool":"server_admin","arguments":{"action":"exec","command":"whoami"}}'Wire a Custom GPT
Custom GPT Actions need a publicly reachable HTTPS URL. Use your preferred secure tunnel/reverse proxy to map https://YOUR_HOST to http://127.0.0.1:8765 without changing paths. In the GPT editor, add an Action, import https://YOUR_HOST/openapi.json, choose API key / Bearer authentication, and enter the generated token. The action endpoint is POST /tools/call.
Wire an MCP client
Configure a remote/streamable-HTTP MCP server at https://YOUR_HOST/mcp and send Authorization: Bearer YOUR_TOKEN on every request. Exact UI wording differs by client; the endpoint and header are the portable pieces.
No bundled prompt
The server intentionally ships with no user instructions, assistant prompt, memory, policies, personalities, or task-specific system text. Tool descriptions only document callable capabilities.
This server cannot be deployed
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