Spaceship MCP

Spaceship MCP

An MCP server for managing and executing AI agents on the Spaceship AI platform directly from clients like Claude Code and Cursor. It provides comprehensive tools for agent lifecycle management, including creation, execution, and real-time monitoring of run statuses and logs.

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README

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spaceship-mcp

MCP server for Spaceship AI — manage agents from Claude Code, Cursor, and any other MCP client.

Quick start

Claude Code / Claude Desktop

Add to your .mcp.json (project-level) or claude_desktop_config.json:

{
  "spaceship": {
    "command": "uvx",
    "args": ["spaceship-mcp"],
    "env": {
      "SPACESHIP_API_KEY": "sk_live_...",
      "SPACESHIP_API_URL": "https://spaceshipai.io"
    }
  }
}

Get your API key from the Spaceship AI dashboard under Settings → API Keys.

Local development (pointing at localhost)

{
  "spaceship": {
    "command": "uvx",
    "args": ["spaceship-mcp"],
    "env": {
      "SPACESHIP_API_KEY": "sk_live_...",
      "SPACESHIP_API_URL": "http://localhost:3000"
    }
  }
}

Environment variables

Variable Required Default Description
SPACESHIP_API_KEY Yes Your Spaceship API key (sk_live_...)
SPACESHIP_API_URL No https://spaceshipai.io Override for local dev or staging

Tools

Tool What it does
list_projects List all projects in your org
list_agents List agents, optionally filtered by project
get_agent Get full details of a single agent
create_agent Create an agent (pass description for auto-generated system prompt)
update_agent Update name, prompt, or tools; re-scaffold with description
delete_agent Permanently delete an agent (irreversible)
run_agent Start an async run; returns execution_id for polling
get_run_status Poll run status: queued → running → completed / error / cancelled / paused
get_run_logs Fetch full chronological event log for a completed run
list_executions List recent runs for an agent with status and duration
test_agent Quick sync test (15s timeout) — start a run and wait for it to finish
list_tools List tools available to attach to agents

Typical workflow in Claude Code

list_projects
  → list_agents project_id=1
    → create_agent name="Support Bot" project_id=1 description="Handles customer refund requests"
      → run_agent agent_id="..." prompt="Process refund for order #1234"
        → get_run_status agent_id="..." execution_id="..."
          → get_run_logs agent_id="..." execution_id="..."

Or use test_agent to run and wait in one step:

test_agent agent_id="..." prompt="Hello, can you help me?"

Development

python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest tests/ -v

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