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sarvesh2003dev

machines-mcp

by sarvesh2003dev
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Python
Remote

machines-mcp

Production-oriented Model Context Protocol server for Dedalus Machines.

Lets agents create persistent VMs, wait until they are running, execute commands, and run basic diagnostics — without hand-rolled polling loops.

Tools

Tool

Description

machines_create_and_wait

Create a machine and block until running

machines_get

Retrieve machine status

machines_list

List machines

machines_run

Run a shell command via executions API

machines_sleep / machines_wake

Lifecycle controls

machines_destroy

Destroy a machine

machines_doctor

Auth + API + optional machine health check

Related MCP server: procm-mcp

Quickstart

export DEDALUS_API_KEY=dsk-...
# optional:
# export DEDALUS_BASE_URL=https://api.dedaluslabs.ai
# export DEDALUS_ORG_ID=...

uv sync
uv run python -m src.main

Server listens on Streamable HTTP (:8080 by default).

Claude / Cursor MCP config

{
  "mcpServers": {
    "dedalus-machines": {
      "command": "uv",
      "args": ["run", "python", "-m", "src.main"],
      "cwd": "/path/to/machines-mcp",
      "env": {
        "DEDALUS_API_KEY": "dsk-..."
      }
    }
  }
}

Design notes

  • Built on dedalus-mcp (Dedalus MCP framework) + official dedalus Python SDK

  • Create-and-wait uses client-side polling with timeout / terminal-phase failures

  • machines_doctor is safe for onboarding: checks key presence, API reachability, lists machines

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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