RAG & Wissen
InsightPDF
Chat with PDFs and see exactly where each answer was found.
★ 49 SterneMIT
Anleitung ansehen →KDAN-PDF-MCP ist ein Open-Source-Projekt aus der Kategorie RAG & Wissen von KDAN-PDF (KDAN-PDF/KDAN-PDF-MCP auf GitHub). Es hat 57 Sterne auf GitHub und 2 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 23. September 2026 auf GitHub aktualisiert.
MCP server that lets Claude and ChatGPT edit and compare PDFs.
Download the connector source.
Check the README for credentials and config.
Add it to Claude or ChatGPT per the docs.
Ask the assistant to edit or compare files.
Edit documents from conversation.
Diff documents in chat.
Real document security operations.
Shrink files conversationally.
Works with both assistants.
Any compatible client can connect.
Download the source and move into the project folder.
git clone https://github.com/KDAN-PDF/KDAN-PDF-MCP.git
cd KDAN-PDF-MCPCheck the setup and credential steps.
cat README.md | head -60Add the MCP config to your assistant.
# see README for the MCP config snippetKDAN, at KDAN-PDF/KDAN-PDF-MCP with 2 forks.
The connector is MIT licensed; KDAN service terms apply separately.
Claude and ChatGPT via the Model Context Protocol.
Upload, edit, compress, protect, redact, and compare.
Check the README — the connector bridges to KDAN PDF services.
Chat with PDFs and see exactly where each answer was found.
PDF reader with AI chat, flashcards, annotations, and text-to-speech.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
Turn PDFs into AI-ready data: extract Markdown, JSON and tables — and auto-tag for accessibility
A self-hostable markdown team wiki with a built-in MCP server.
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
Die anderen Projekte der Kategorie RAG & Wissen mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls KDAN-PDF-MCP nicht das Richtige ist.
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Verwandte Projekte der Kategorie RAG & Wissen im Katalog, die KDAN-PDF-MCP bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Chat with PDFs and see exactly where each answer was found.
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Private document chat for attorneys: local LLMs, verifiable citations.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.