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Extract structured JSON tables from PDF URLs with reliable source citations.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.mehtaphysical13/pdf-tables-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-mehtaphysical13-pdf-tables-mcp' 'https://pdf-tables-mcp.vercel.app/api/mcp'
Extract all tables from this PDF URL, return structured JSON, and keep page numbers or source citations for each table: https://example.com/annual-report.pdf
A JSON result with multiple tables, including row-column data and page-level citation details.
Read this paper's PDF URL, extract all experiment-result tables, output them as JSON grouped by table title, and include source citation locations.
Structured JSON organized by table title, ready for analysis and easy source verification.
Extract schedules and fee tables from the following contract PDF URL, return clean JSON arrays, and annotate the page number for each item.
Normalized table JSON that can be directly imported into systems or used in automation workflows.
Extract structured data from academic PDFs with natural-language querying and batch workflows.
Extract figures and tables from scholarly PDFs for structured analysis and retrieval.
Extract text, images, tables, links, and metadata from PDF files.
Convert PDFs into clean, LLM-ready Markdown with tables, formulas, and OCR.
Parse PDFs locally with text extraction, OCR, bounding boxes, and visual citations.
Extract PDFs into Markdown, RAG chunks, and cited tables.