Retrieve the extraction status for a document in a sift, indicating if processing is queued, running, completed, or failed.
MIT
225,938 tools. Last updated 2026-06-22 23:22
"A tool for document extraction using MinerU" matching MCP tools:
- Initiate an extraction on a document by specifying its ID and the sift to use, converting unstructured content into structured records.MIT
- Retrieve PDF metadata including page count, file size, document type, and table presence to decide which extraction tool to use next.MIT
- Convert web pages to structured Markdown while preserving tables, lists, and document hierarchy for clean content extraction.MIT
- Request OCR scanning and structured data extraction for a package's document, label, envelope, or content. Receive extracted text, addresses, and dates.MIT
- Queue a document for asynchronous entity extraction. Returns a job ID to track progress while processing runs in the background.
Matching MCP Servers
- Alicense-qualityBmaintenanceEnables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.Last updated64587MIT
- AlicenseAqualityCmaintenanceEnables document parsing and extraction from PDFs and other formats using the MinerU API. Supports batch processing, page range selection, OCR in 109 languages, and VLM/pipeline models for high-accuracy content extraction.Last updated41086MIT
Matching MCP Connectors
AI reasoning checks any document against known international standards before your agent acts on it.
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- Checks the entity extraction status of a document, including job state and error details, to confirm completion before querying entities.
- Extract text from images for document processing, receipt scanning, and image text extraction using OCR technology. Supports both URLs and base64 encoded images.
- Convert PDF, Office documents, images, and web pages to Markdown with OCR support and page range extraction.Apache 2.0
- Search for documents by their folder path using keywords at each level. Returns matching document filings.Apache 2.0
- Save a reusable data extraction schema to your workspace for use across future document extractions. Define the schema with JSON Schema or field-type map.MIT
- Analyzes documents to automatically create JSON schemas for structured data extraction, enabling consistent field definitions across similar documents.MIT
- Update document properties in the content repository by providing the document identifier and new property values. Properties are updated without altering the document class.Apache 2.0
- Generates a browser upload link for the user to add a file to their workspace. Returns a pre-allocated document ID for later extraction.MIT
- Create a document from a template or template group and send a signing invite immediately, specifying recipient order and roles.MIT
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
- Retrieve complete Amazon Business API documentation content using document references from search results. Access full API references, implementation guides, and detailed endpoint information for integration development.Apache 2.0
- Obtain a complete list of all properties for a specified class, including system and hidden properties, to facilitate general document updates.Apache 2.0
- Retrieve all properties of a class, including system and hidden ones, to enable full document updates.Apache 2.0
- Create a document from a template and generate an embedded sending link for immediate e-signature requests.MIT