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jztan / pdf-mcp

Agentic RAG over one PDF or a whole folder, with page-level evidence to check every answer: hybrid search, selective page reads, tables, OCR, charts, and CJK layouts.

Why this job: name: mcp; topics: mcp-server, model-context-protocol, mcp

pdf-mcp browser demo: an AI agent warms a 6-PDF corpus, triages it, searches across all six documents, and reads only the matching page, with 97.3% of the corpus never entering the context window

What it does

The agent decides when to search; pdf-mcp does the retrieval and hands back excerpts, each with the page it came from. When the extracted text might be wrong, the agent can render that page and check it against what's actually printed. Hidden text, including injected instructions, is flagged, not silently passed on. It's an MCP server that lets Claude Code and other AI agents search one PDF or a whole folder, read only the pages that matter, and pull out tables, images, and scanned text, even from multi-column and Japanese layouts.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit yesterday
Stars
169
+4 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v3.7.0
Released 2 days ago
Built with
Python
94% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
100% closed
0 still open
Pull requests
47 merged
1 waiting
Releases
37
30+ in the last year

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More: languages, topics and project record

Languages

  • Python 94%
  • HTML 4%
  • JavaScript 2%
  • Shell <1%

Topics

  • ai
  • claude
  • document-processing
  • llm
  • mcp
  • pdf
  • python
  • codex-cli
  • opencode
  • mcp-server
  • cjk
  • ocr

Project record

  • JobMCP servers
  • StatusListed
  • Commits1,823
  • Forks18
  • Watching2
  • Stars in 28 days+19
  • CreatedJan 28, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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