TokPort

Connect Remote server

claude mcp add --transport http tokport https://tokport.io/api/mcp --header "Authorization: Bearer <YOUR_API_KEY>"

{
  "mcpServers": {
    "tokport": {
      "url": "https://tokport.io/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "tokport": {
      "type": "http",
      "url": "https://tokport.io/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://tokport.io/api/mcp

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

Tools 8 found in our last check

• search_models

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• get_model_schema

  Input parameters (name, type, allowed values, defaults) and output shape for every task a model supports.

• get_pricing

  Live price per image, per second of video, or per video clip, depending on the model. Query one model or all models.

• run_model

  Run a model synchronously with the caller's API key. Images return URLs; videos are queued and this waits up to 60 s before returning the queue status instead.

• submit_job

  Queue a request and return its request_id immediately. Follow with check_job / get_job_result.

• check_job

  Status of a queued request (IN_QUEUE / IN_PROGRESS / COMPLETED / FAILED / CANCELLED) with position, logs and metrics.

• get_job_result

  Result of a completed request; waits up to `timeout` seconds (max 60) when still running.

• cancel_job

  Cancel a request while it is still queued.

Headers

Details

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