Mindee MCP by usefulapi
io.usefulapi/mindee · v1.11.1
Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR.
MCPremoteno credentialsDocuments & PDFAI & LLMMaps & location
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 88/100
What it does: 4 tools · 3 read, 1 write · Documents & PDF, AI & LLM, Maps & location
Test call mindee_list_models: needs a key: HTTP 401 (965 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://mindee.usefulapi.io/mcpTools
4 tools listed at last check
mindee_list_modelsList 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_jobCheck 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_inferenceFetch 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_documentSubmit 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_id you can poll wit
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