stagenth · 文档解析
Server Details
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
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- Status
- Unhealthy
- Uptime
- 54.3% over 42 days
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 4 tools
Each tool targets a distinct aspect of document processing: parsing to Markdown, extracting images, extracting tables, and chunking for RAG. The descriptions clearly differentiate their purposes, and doc_tables explicitly notes its difference from doc_parse.
All tools follow the consistent pattern 'doc_' + a noun (chunk, images, parse, tables). Naming is uniform, lowercase, and underscore-separated, making the tool surface predictable.
Four tools is a well-scoped number for a document parsing server, covering core parsing, image extraction, table extraction, and chunking without unnecessary redundancy.
The tool surface covers the full document processing pipeline: parse to Markdown, extract structured tables, extract images, and produce RAG-ready chunks. The only noted limitation (OCR) is explicitly disclosed and does not undermine the core workflows.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
- First observed
doc_chunk - First observed
doc_images - First observed
doc_parse - First observed
doc_tables
Related MCP Connectors
PDF, Word, PowerPoint, Excel, HTML, EPUB to Markdown: OCR, page ranges, tables, RAG chunking
PDF, Word, Excel, CSV, HTML and XML to clean Markdown for LLMs and RAG, with token counts.
Convert PDF, DOCX, HTML, and URLs to clean, LLM-ready markdown with tables preserved
High-fidelity PDF to structured Markdown conversion and document field extraction.
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