MCP server
Mindee MCP by usefulapi
io.usefulapi/mindee
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR.
Working at last checkVerified publisher: usefulapi.ioAbout 964 tokens per request once connected4 tools
https://mindee.usefulapi.io/mcp
At a glance
- Type
- MCP server
- Publisher
- usefulapi.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 964 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mindee https://mindee.usefulapi.io/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mindee] url = "https://mindee.usefulapi.io/mcp"
Gemini CLI
{"mcpServers":{"mindee":{"httpUrl":"https://mindee.usefulapi.io/mcp"}}}
Cursor
{"mcpServers":{"mindee":{"url":"https://mindee.usefulapi.io/mcp"}}}
VS Code
{"servers":{"mindee":{"type":"http","url":"https://mindee.usefulapi.io/mcp"}}}
Antigravity
agy mcp add mindee https://mindee.usefulapi.io/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mindee","server_url":"https://mindee.usefulapi.io/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mindee","server_url":"https://mindee.usefulapi.io/mcp"}
Tools
mindee_extract_document~485 tokens
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 witmindee_get_inference~180 tokens
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_get_job~155 tokens
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_list_models~144 tokens
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.
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