Mindee MCP by usefulapi

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Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR.

Utilities

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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_id you can poll with mindee_get_job then read with mindee_get_inference. NOTE: consumes Mindee API credits (paid, billed per page). V2 API: POST /v2/inferences/enqueue.

model_idstring, required

Extraction model id (from mindee_list_models).

ragboolean

Enable Retrieval-Augmented Generation for the model, if configured.

aliasstring

Your own reference tag echoed back in the job/result.

polygonboolean

Return bounding-box polygons for fields.

filenamestring

Filename for file_base64 uploads, e.g. 'invoice.pdf'.

raw_textboolean

Also return the full OCR raw text of the document.

confidenceboolean

Return per-field confidence levels (Certain/High/Medium/Low).

file_base64string

Base64-encoded document bytes. Use this OR document_url; set `filename` too.

webhook_idsarray

Webhook ids to notify on completion (async flows).

document_urlstring

Public URL of the document to process. Use this OR file_base64.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Try it

Call this server's tools from your browser. Nothing to install.

https://mindee.usefulapi.io/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

mindee_extract_document

model_idstring, required

Extraction model id (from mindee_list_models).

ragboolean

Enable Retrieval-Augmented Generation for the model, if configured.

aliasstring

Your own reference tag echoed back in the job/result.

polygonboolean

Return bounding-box polygons for fields.

filenamestring

Filename for file_base64 uploads, e.g. 'invoice.pdf'.

raw_textboolean

Also return the full OCR raw text of the document.

confidenceboolean

Return per-field confidence levels (Certain/High/Medium/Low).

file_base64string

Base64-encoded document bytes. Use this OR document_url; set `filename` too.

webhook_idsarray

Webhook ids to notify on completion (async flows).

document_urlstring

Public URL of the document to process. Use this OR file_base64.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Tools (4)

mindee_extract_document

Argument	Type	Description
rag	boolean	Enable Retrieval-Augmented Generation for the model, if configured.
alias	string	Your own reference tag echoed back in the job/result.
polygon	boolean	Return bounding-box polygons for fields.
filename	string	Filename for file_base64 uploads, e.g. 'invoice.pdf'.
model_id*	string	Extraction model id (from mindee_list_models).
raw_text	boolean	Also return the full OCR raw text of the document.
confidence	boolean	Return per-field confidence levels (Certain/High/Medium/Low).
file_base64	string	Base64-encoded document bytes. Use this OR document_url; set `filename` too.
webhook_ids	array	Webhook ids to notify on completion (async flows).
document_url	string	Public URL of the document to process. Use this OR file_base64.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "model_id"
  ],
  "properties": {
    "rag": {
      "type": "boolean",
      "description": "Enable Retrieval-Augmented Generation for the model, if configured."
    },
    "alias": {
      "type": "string",
      "description": "Your own reference tag echoed back in the job/result."
    },
    "polygon": {
      "type": "boolean",
      "description": "Return bounding-box polygons for fields."
    },
    "filename": {
      "type": "string",
      "description": "Filename for file_base64 uploads, e.g. 'invoice.pdf'."
    },
    "model_id": {
      "type": "string",
      "description": "Extraction model id (from mindee_list_models)."
    },
    "raw_text": {
      "type": "boolean",
      "description": "Also return the full OCR raw text of the document."
    },
    "confidence": {
      "type": "boolean",
      "description": "Return per-field confidence levels (Certain/High/Medium/Low)."
    },
    "file_base64": {
      "type": "string",
      "description": "Base64-encoded document bytes. Use this OR document_url; set `filename` too."
    },
    "webhook_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Webhook ids to notify on completion (async flows)."
    },
    "document_url": {
      "type": "string",
      "format": "uri",
      "description": "Public URL of the document to process. Use this OR file_base64."
    }
  }
}

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}.

read-only

Argument	Type	Description
raw	boolean	Return the full unshaped API response instead of the compact fields map. Default false.
inference_id*	string	Inference id (from a Processed job's result_url, or from mindee_extract_document).

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "inference_id"
  ],
  "properties": {
    "raw": {
      "type": "boolean",
      "description": "Return the full unshaped API response instead of the compact fields map. Default false."
    },
    "inference_id": {
      "type": "string",
      "description": "Inference id (from a Processed job's result_url, or from mindee_extract_document)."
    }
  }
}

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}.

read-only

Argument	Type	Description
job_id*	string	Job id returned by mindee_extract_document (when it times out) or an enqueue call.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "Job id returned by mindee_extract_document (when it times out) or an enqueue call."
    }
  }
}

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.

read-only

Argument	Type	Description
name	string	Optional case-insensitive name filter, e.g. 'invoice'.
model_type	string	Optional model type filter.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "name": {
      "type": "string",
      "description": "Optional case-insensitive name filter, e.g. 'invoice'."
    },
    "model_type": {
      "type": "string",
      "description": "Optional model type filter."
    }
  }
}