mindee_list_models
List extraction 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.
namemodel_typeio.usefulapiPublished by usefulapi.ioOfficial publisherv1.35.3Updated Nov 5, 2026
Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR.
The publisher's own server: Ably MCP by usefulapi
Hosted Mindee OCR server that lets an assistant extract typed fields from PDFs and images, such as invoices, receipts and IDs.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.usefulapi%2Fmindee/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"mindee-by-usefulapi": {
"type": "http",
"url": "https://mindee.usefulapi.io/mcp"
}
}
}Extract structured data from any document with Mindee, from Claude, Cursor, or any MCP client. Hosted, no local install — connect with your Mindee API key.
Live endpoint: https://mindee.usefulapi.io/mcp · Homepage: https://usefulapi.io/mindee
https://mindee.usefulapi.io/mcp.claude mcp add --transport http mindee https://mindee.usefulapi.io/mcp, then run /mcp to log in.Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your Mindee credentials.
Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/mindee/
On first connect you'll paste your Mindee API key. It's validated, stored per-user, and scoped to you.
read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.
*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to [email protected].
Pro covers this server only. Subscribe with mindee_upgrade (it returns a Stripe Checkout link). Cancel any time with mindee_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running mindee_upgrade before then undoes the cancel. Or write to [email protected].
MIT — see LICENSE. Documentation only; the server is hosted.
Source: servers/mindee/README.md at commit 4046075
List extraction 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.
namemodel_typeGet job status
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}.
job_idrequiredGet extraction result
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}.
rawinference_idrequiredExtract data from a 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.
ragaliaspolygonfilenamemodel_idrequiredraw_textconfidencefile_base64webhook_idsdocument_url100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
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{ "mcpServers": { "mindee": { "url": "https://mindee.usefulapi.io/mcp" } }}