OpenMark

Connect Remote server

claude mcp add --transport http openmark https://openmark.ai/mcp --header "Authorization: Bearer <YOUR_API_KEY>"

{
  "mcpServers": {
    "openmark": {
      "url": "https://openmark.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "openmark": {
      "type": "http",
      "url": "https://openmark.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://openmark.ai/mcp

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools 10 found in our last check

• get_task_format

  How to write an OpenMark task: the YAML structure, all 18 scoring modes, and tips. Call this before writing a task. Pass a topic for the full detail on one subject (the app's Task Guide): fields, scoring, composite, chaining, documents, examples, best_practices, or a scoring mod…

• validate_task

  Check a task YAML the way OpenMark will before running it: structure, scoring settings, and the test limit of the user's plan. Free, saves nothing. Returns the problems to fix and warnings worth a look.

• list_models

  Current OpenMark model ids with list prices ($ per 1M tokens), as text and as a structured list. Use these ids in run_benchmark. Append @low, @medium or @high to a reasoning model id to set its reasoning effort.

• prepare_attachments

  Get an upload_uid and a one-hour upload link (no API key needed) for images, PDFs or text documents, with the exact curl command. Upload the files, reference them by file name in each test's attachments list, then pass the upload_uid to estimate_cost / run_benchmark.

• estimate_cost

  Credits a run_benchmark call would use, before spending anything: the expected total, the split per model, the balance needed to start, the worst case, and the user's balance. Same inputs and run settings as run_benchmark. Use it to drop an expensive model, or to compare setting…

• run_benchmark

  Save a task (YAML, see get_task_format) to the user's OpenMark account and run it on the given models with real API calls. Returns a job_id and the expected cost; poll get_results. Spends the user's credits; pass max_credits to only start within a budget. Optional run settings m…

• get_results

  Status of a benchmark job, and once completed the ranked results (score, stability, cost per run, latency), the tests each model missed with its answer, a recommendation for the chosen objective and quick picks for the others.

• export_openclaw_csv

  A completed job's results as the CSV the OpenMark Router plugin for OpenClaw reads (the same file as the app's Export > OpenClaw). Save it in the plugin's benchmarks folder, by default ~/.openclaw/workspace/plugins/openmark-router/benchmarks/, and OpenClaw routes this kind of ta…

• get_account

  The user's plan, credit balance and limits, and what a credit pack, Pro or Expert would unlock. Use it before large runs, or when a run is refused for credits or limits.

• watch_task

  Watch the task of a completed job: when new or cheaper models ship, OpenMark re-tests up to 4 of them next to the user's pick and emails the user only when one beats it. Each check uses the user's credits at the normal rate.

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