io.usefulapi由 usefulapi.io 发布官方发布者v1.36.4更新于 Nov 7, 2026
Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR.
发布方自己的服务：Ably MCP by usefulapi
Mindee MCP by usefulapi 的托管 MCP 服务（mindee.usefulapi.io），由 usefulapi.io 发布；无需登录；Streamable HTTP；4 个工具。
暂无 AI 概览：以下信息来自注册中心条目和服务本身。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.usefulapi%2Fmindee/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"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.
来源：servers/mindee/README.md，提交 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_id必填Get 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_id必填Extract 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_id必填raw_textconfidencefile_base64webhook_idsdocument_url已满足适用检查项的 100%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
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{ "mcpServers": { "mindee": { "url": "https://mindee.usefulapi.io/mcp" } }}