Mindee MCP by usefulapi

Last 30 days

Uptime

100%

Response time

443 ms typical, 443 ms slowest 5%

Last check

42 min ago

Next check

in 5 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "mindee-mcp-by-usefulapi": {
      "type": "http",
      "url": "https://mindee.usefulapi.io/mcp"
    }
  }
}

4 tools

• mindee_list_models

  List the document-extraction models available to your Mindee account (id, name, type). Use a model's `id` as the model_id for mindee_extract_document. V2 API: GET /v2/search/models.

• mindee_get_job

  Check the processing status of an enqueued document by job id. Status is Waiting | Processing | Processed | Failed. When Processed, the response carries a result_url; pass that inference id to mindee_get_inference. V2 API: GET /v2/jobs/{job_id}.

• mindee_get_inference

  Fetch the structured result of a completed inference by id, returned as a compact map of extracted fields (plus raw_text if it was requested). V2 API: GET /v2/inferences/{inference_id}.

• mindee_extract_document

  Submit a document (PDF or image) to a Mindee extraction model and return the structured fields. Provide EITHER document_url (a public URL) OR file_base64 (+ filename). This enqueues an inference and polls until it completes (up to ~30s); if it is still processing it returns a job

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