machine-root-mcp

machine-root-mcp

A self-hosted MCP server that gives AI coding assistants direct shell access to your local machine, enabling execution of arbitrary bash commands for development workflows.

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README

machine-root-mcp

⚠ Personal use only. Do not deploy to a real server. See Security.

A self-hosted MCP (Model Context Protocol) server that gives AI coding assistants — Claude, Codex, or any MCP-compatible client — direct shell access to your local machine. One tool. Full access. No restrictions.

Built for personal local development workflows where you want AI to actually do things: run builds, read/write files, execute git commands, run tests, install packages, grep codebases — anything you'd type in a terminal.


What it is

An HTTP server implementing the Model Context Protocol spec with a single tool: run_command. When an AI client connects, it can call that tool with any bash command and get back stdout/stderr. That's it. No wrappers, no abstractions over the shell — just raw access.

The server handles full OAuth 2.0 Authorization Code + PKCE so any standard MCP client can connect using the discovery flow (/.well-known/oauth-authorization-server). OAuth state — registered clients, access tokens, refresh tokens — is persisted in a local SQLite database so registered clients survive server restarts without re-authenticating.


What it does

  • Exposes a single MCP tool: run_command(command, cwd, timeout)
  • Implements a complete self-contained OAuth 2.0 authorization server (no external IdP)
  • Supports dynamic client registration — AI clients register themselves automatically
  • Serves a browser consent page when a client requests authorization
  • Persists all OAuth state to SQLite (WAL mode) across restarts
  • Logs every HTTP request, OAuth event, and tool call via structured pino logs
  • Shuts down gracefully on SIGTERM/SIGINT (drains connections, closes DB)

What it will be used for

Running AI coding assistants against local projects as if they had a terminal open on your machine:

  • Navigate and explore codebases (find, rg, cat, tree)
  • Read, write, and edit source files
  • Run builds, tests, and linters (pnpm build, vitest, eslint)
  • Execute git operations (git log, git diff, git commit)
  • Install dependencies, restart dev servers, tail logs
  • Anything else you'd do in a terminal — because it literally is a terminal

The intent is to connect this to Claude or Codex as a persistent MCP server and let the AI operate on your local workspace without constant copy-pasting.


Stack

Layer Technology
Runtime Node.js 24
Language TypeScript (ESM, strict)
HTTP server Express 5
MCP protocol @modelcontextprotocol/sdk
OAuth 2.0 Built-in (Authorization Code + PKCE)
Persistence SQLite via better-sqlite3 (WAL)
Logging pino + pino-pretty
Package manager pnpm

Quick start

git clone https://github.com/yugalkishor/machine-root-mcp
cd machine-root-mcp

pnpm install

# Build better-sqlite3 native binary (required once)
cd node_modules/better-sqlite3 && node_modules/.bin/prebuild-install && cd ../..

cp .env.example .env          # edit if needed
pnpm build
pnpm start

Server starts at http://localhost:3100.


Exposing publicly

To connect from a remote MCP client you need a public HTTPS URL. Deploy this on any server you have access to — a VPS (DigitalOcean, Hetzner, Linode), a home server with a static IP, or any machine you can put behind a reverse proxy (nginx, Caddy). Set BASE_URL in .env to your public HTTPS URL before building.

BASE_URL=https://your-server.com pnpm build && pnpm start

MCP endpoint: https://your-server.com/mcp


Environment variables

Variable Default Description
PORT 3100 HTTP listen port
BASE_URL http://localhost:3100 Public base URL (set to your public server URL)
MCP_DB_PATH ./data/local-mcp.db SQLite database path
LOG_LEVEL info trace / debug / info / warn / error / fatal
NODE_ENV development development = pretty logs, production = JSON logs

Security

This project is intentionally insecure. It is designed for local personal use only.

  • run_command executes arbitrary shell commands with no blocklist, no sandboxing, and no path restrictions
  • The OAuth server issues tokens to anyone who completes the consent flow
  • SQLite tokens are stored unencrypted on disk
  • There is no rate limiting, no audit log, no scope enforcement beyond the single mcp scope

Do not run this on a public server, a shared machine, or expose it without a tunnel you control. Whoever holds a valid access token has full shell access to your machine as your user.


License

Personal use. Not intended for distribution.

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