PDF Extraction MCP Server

Model Context Protocol server that extracts text, metadata, and tables from PDF documents — helping AI agents read invoices, contracts, research papers, and reports.

Public Streamable HTTP endpoint

http://64.227.2.61/pdf-mcp/mcp

Tools

Tool	Args	Returns
`extract_pdf`	url \| base64_data, filename, include_tables	JSON: text, text_by_page, metadata, words, tables
`extract_pdf_text`	url \| base64_data, filename	JSON: text + word stats only
`extract_pdf_tables`	url \| base64_data, filename	JSON: detected tables (rows/cols/page)

Input

url — public http(s) link to a PDF
base64_data — base64-encoded PDF bytes (up to 5MB)

REST API (same engine)

POST http://64.227.2.61/pdf/api/v1/pdf/extract · text · tables · payments (Solana USDC). Webhook/OpenAPI at /pdf/openapi.json.

Example

extract_pdf_text(url="https://example.com/report.pdf")
→ {"filename":"report.pdf","source":"url","page_count":3,
   "text":"full text...","words":{"total":1200,"unique":300}}

Contact: samayhuf@gmail.com