MinerU MCP Server
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- FlicenseNot gradedqualityDmaintenanceEnables document parsing through the Mineru API with support for multiple formats (PDF, DOC, DOCX, PPT, images), OCR, formula recognition, and table extraction in multiple languages.1-
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to extract text from PDF, image, Word, PowerPoint, and Excel files using MinerU, either on the local machine or a self-hosted private-network API. Parsed results are saved locally as Markdown, structured JSON, and extracted images, which can then be read back in segments.MIT
- FlicenseNot gradedqualityDmaintenanceEnables extraction of text, tables, and structured data from PDFs, images, and office documents using LandingAI's Agentic Document Extraction API. Supports both direct parsing and background job processing for large files with privacy-focused processing.-
- FlicenseNot gradedqualityNot gradedmaintenanceEnables batch conversion of PDF files to HTML format using Mineru's official PDF parsing API. Supports automatic file scanning, customizable parsing parameters, and organized output with renamed image assets.-
- AlicenseBqualityDmaintenanceConverts documents (PDF, Word, PPT, images, HTML) to Markdown via MinerU API. Supports URL and local file inputs with OCR, formula/table recognition, and automatic large file handling.55MIT
- AlicenseAqualityDmaintenanceConverts Word, PDF, PPT, and Excel documents to Markdown using the MinerU DocParse API. Supports synchronous parsing and async background tasks for large files.21MIT
TDQS
Scored across 8 tools
Each tool targets a distinct action or resource: status checking, single parse, batch parse, batch status, local upload, result download, slice merging, and long-document parsing. The descriptions explicitly clarify when to use each, especially the overlap between mineru_parse/mineru_parse_long and mineru_batch/mineru_upload_batch, leaving no ambiguity.
All tool names share the 'mineru_' prefix, but the second part mixes verbs (parse, upload, download, merge) with nouns (status, batch, results). This is readable and predictable, though not strictly verb_noun like the calibration example. The minor inconsistency (e.g., 'mineru_batch_status' vs 'mineru_status') does not cause confusion.
With 8 tools, the server covers the core document parsing workflow without excess. Each tool has a clear role: parsing (single/batch/long), status checks, result retrieval, and local file upload. This is well-scoped for the domain.
The tool set covers the full parse lifecycle: submit, check status, download results, and merge slices for long documents. The only notable gap is the lack of a direct single-local-file parse path (requires using upload_batch even for one file), but this is a minor workaround and does not severely impede agents.