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Convert PDFs into citeable structured content for parsing, extraction, Q&A, and rendering.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "okraPDF PDF MCP server" yet — see the docs or source repo.
Parse this PDF contract and extract party A, party B, signing date, and contract amount based on layout structure. Output JSON and include source citations and bounding-box locations for each field.
Structured JSON containing key contract fields with page numbers, quoted source text, and bounding-box citations.
Search across these PDF reports and answer: "What commonalities and differences exist among the main risk factors mentioned?" Provide citation locations for every conclusion.
A citation-backed comparative answer listing common points, differences, and the source locations in each document.
Parse the tables in this PDF with layout awareness, preserve row-column relationships, and export them into a usable structured data format.
Outputs table-structured results such as JSON or HTML while preserving the original reading order and layout information.
Ingest PDFs, run semantic search, and answer questions with source citations.
Search, retrieve, and answer questions from PDF documents with RAG.
Generate, parse, split, merge, and manipulate PDF files through an MCP server.
Convert PDFs to Markdown through an MCP server using a local Ollama vision model.
Lets AI inspect PDF text layers, outlines, and page content locally.
Download PDFs from URLs and safely convert them into Markdown files.