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doc.page PDF Extraction

Server Details

Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
ChatGPT
–
Claude
–

TDQS

A3.9/5.0

Scored across 7 tools

Disambiguation4/5

Tools are mostly distinct: one group handles Doc Link lifecycle (create/list/stats/revoke) and another handles PDF content extraction. The only minor overlap is extract_pdf's hybrid mode also reconstructing tables, which partially duplicates list_tables, but the dedicated table tool is clearly more specialized.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: create_, extract_, get_, list_, revoke_. Doc Link tools consistently use doc_link/doc_links, and content tools use clear object names like pdf, chunks, and tables.

Tool Count5/5

Seven tools is a well-scoped set for a PDF extraction and doc.link management server. Each tool covers a distinct operation without unnecessary redundancy, and the count sits comfortably in the ideal range.

Completeness4/5

The PDF extraction surface is solid: markdown/elements, tables, and RAG chunks are all covered. The Doc Link lifecycle has create, list, stats, and revoke, but lacks an update/rename or edit-expiry operation, which is a minor but noticeable gap.

Available Tools

7 tools
extract_pdfAInspect

Extract a PDF into clean Markdown and structured elements (headings, paragraphs). Returns the canonical ExtractedDocument object. mode "hybrid" runs a heavier semantic engine that also reconstructs tables and bounding boxes; the default "fast" engine is prose-only (low confidence.tables).

Inputs: url (required), mode, outputs, chunkTokens.

get_chunksAInspect

Split a PDF into semantic chunks ready for embeddings (RAG). Each chunk carries its text, estimated tokens, starting page, section heading and the source element ids for citation.

Inputs: url (required), maxTokens.

list_tablesBInspect

Return every table in a PDF as structured JSON (reconstructed rows and columns) with page and bounding box for verifiable citations. Uses the semantic (hybrid) engine.

Inputs: url (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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