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sandraschi

pdf-mcp

by sandraschi
OverviewSchemaRelated ServersScoreDiscussions
Python

pdf-mcp

Full-stack PDF intelligence MCP server — extract, manipulate, annotate, convert, validate, and RAG-search PDFs through a unified tool surface and React workbench.

v0.1.0 · Ports 11130 (frontend) / 11131 (backend)

FastMCP 3.4+ · PyMuPDF + pypdf + pdfplumber · LanceDB RAG · Prefab UI · dual transport (stdio + HTTP)

Features

  • pdf_extract — text, images, tables, metadata, fonts, links, outline

  • pdf_manipulate — merge, split, rotate, reorder, delete pages, compress, encrypt/decrypt, optimize

  • pdf_annotate — watermark, stamp, highlight, underline, header/footer, page numbers

  • pdf_forms — list / fill / flatten / export form fields

  • pdf_convert — PDF ↔ Markdown / images / HTML

  • pdf_validate — PDF/A, structure, accessibility, integrity, compare

  • pdf_rag — chunk, index (LanceDB), semantic search

Related MCP server: pdf-mcp

Quick start

git clone https://github.com/sandraschi/pdf-mcp
cd pdf-mcp
uv sync
Copy-Item .env.example .env
.\start.ps1

Dashboard: http://127.0.0.1:11130 · MCP/API: http://127.0.0.1:11131

Webapp

Route

Page

/

Dashboard

/workbench

PDF.js viewer + tool palette

/pipeline

Batch operations

/chat

LLM chat with RAG context

/tools / /skills / /logs

Discovery & logs

Architecture

  • Backend: Python 3.12, FastMCP 3.4+, FastAPI, PyMuPDF, pypdf, pdfplumber, LanceDB

  • Frontend: React 18, Vite, Tailwind, Zustand, Framer Motion, PDF.js

  • Transport: stdio (Claude Desktop / Cursor) + HTTP/SSE

License

MIT

This server cannot be installed

A
license - permissive license
-
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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