codabench-mcp

MCP server for the Codabench REST API. Lets an AI agent drive a full participant ML-benchmark workflow: discover competitions, read rules, download data, submit, poll, read leaderboards.

Features

Curated tools for the participant path:

• search_competitions, get_competition, list_competition_phases, get_phase, get_competition_rules, list_competition_tasks, get_task
• download_dataset (streaming + SHA-256)
• list_my_submissions, get_submission, get_submission_logs
• submit_to_phase (handles Codabench's 3-step upload flow)
• poll_submission (backoff + timeout + non-error "still_running")
• get_leaderboard, get_my_profile
• codabench_request — generic REST escape hatch (GET-only by default)

Authentication

You need a Codabench API token. Two ways to get one:

1. Swagger UI (recommended)

1. Visit https://www.codabench.org/api/docs/
2. Find the api-token-auth endpoint → Try it out
3. POST your username/password
4. Copy the token value from the response

2. curl

curl -X POST https://www.codabench.org/api/api-token-auth/ \
  -H "Content-Type: application/json" \
  -d '{"username":"YOUR_USERNAME","password":"YOUR_PASSWORD"}'

The response is {"token": "..."}.

Install

uvx codabench-mcp

To run the bleeding-edge main branch instead of the last release:

uvx --from git+https://github.com/harshitAgr/codabench-mcp codabench-mcp

Or for development:

git clone https://github.com/harshitAgr/codabench-mcp.git
cd codabench-mcp
uv sync
uv run codabench-mcp  # requires CODABENCH_API_TOKEN

Configure an MCP client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "codabench": {
      "command": "uvx",
      "args": ["codabench-mcp"],
      "env": {
        "CODABENCH_API_TOKEN": "paste-your-token-here"
      }
    }
  }
}

Claude Code (plugin marketplace)

/plugin marketplace add harshitAgr/codabench-mcp
/plugin install codabench-mcp@codabench-mcp

Then export your token in the shell where you launch Claude Code:

export CODABENCH_API_TOKEN=paste-your-token-here

Claude Code (manual)

If you'd rather skip the plugin layer:

claude mcp add codabench \
  --env CODABENCH_API_TOKEN=paste-your-token-here \
  -- uvx codabench-mcp

Environment variables

Development

uv sync
uv run pytest                              # unit tests, no network
uv run ruff check .                        # lint
uv run ruff format --check .               # format check

License

MIT — see LICENSE.

_mcp-name: io.github.harshitAgr/codabench-mcp