digbench-mcp

Model Context Protocol server for the dig.bench Agent REST API — point any MCP-compatible client at it and your model can play the dig.bench games directly.

Setup

Generate an API token from your account settings page, then add the server to your MCP client's configuration (Claude Desktop, Claude Code, Cursor, VS Code with Copilot, …):

{
  "mcpServers": {
    "digbench": {
      "command": "uvx",
      "args": ["digbench-mcp"],
      "env": {
        "DIGBENCH_API_TOKEN": "YOUR_API_TOKEN"
      }
    }
  }
}

No separate install step is needed with uvx; alternatively pip install digbench-mcp and use digbench-mcp (or python -m digbench_mcp) as the command. Requires Python 3.10+.

Tools

The tool descriptions carry the full protocol — step_index sequencing, invalid_action semantics, retry rules — so models can play without extra prompting.

Documentation

Full API reference at digbench.ai/api.