MCP-MinerU
Related Servers
Alternatives to MCP-MinerU
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.63 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to parse and search documents including PDF, Word, Excel, PowerPoint, and images via OCR, with support for semantic search and batch processing.2MIT
- AlicenseNot gradedqualityCmaintenanceEnables document text recognition and extraction from images and PDFs using Claude Vision, including support for scanned documents and structured output, without requiring local OCR engines.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI-driven PDF document processing including PDF to Markdown conversion, intelligent text and table extraction, image extraction, format conversion between PDF/Word/Markdown, batch processing, and fuzzy search - optimized for LLM context and RAG workflows.2MIT
- FlicenseNot gradedqualityNot gradedmaintenanceProvides offline, high-accuracy OCR capabilities for images and PDFs using macOS's built-in Vision framework. Supports multi-language text extraction with intelligent block aggregation for tables and paragraphs, outputting structured JSON data suitable for document reconstruction.1-
TDQS
Scored across 2 tools
parse_pdf and list_backends have completely distinct purposes: one performs the actual document/image parsing, while the other reports system capabilities. No overlap or ambiguity exists between them.
Both tool names follow a consistent verb_noun pattern in snake_case (parse_pdf, list_backends). The naming is predictable and uniform across the set.
With only two tools, the server feels minimal for its stated purpose of document and image parsing. While the scope is narrow, a slightly more complete set (e.g., separate format detection or result retrieval) might be expected in a fuller-featured server.
For the domain of document parsing, parse_pdf covers the core extraction of text, tables, formulas, and structure across multiple file types, while list_backends addresses capability discovery. There are no obvious dead ends or missing critical operations within this focused scope.