pdf-tables-mcp
Enables agents to extract clean structured JSON tables from any PDF with per-cell citations to the source page.
README
pdf-tables-mcp
Reliable PDF table extraction as an MCP tool. Drop into Claude, Cursor, or any MCP-compatible agent and get clean structured JSON tables back from any PDF ā with per-cell citations to the source page.
Built by Tool Factory ā Tool #2.
š§ v0.1 scaffold ā tools coming online over the next few days.
What it does
Agents drop a PDF URL, get back clean structured JSON tables with confidence scores and cell-level citations back to the source page.
Use cases:
- RAG preprocessing: split tables from text-heavy docs
- Agentic data extraction from financial filings, scientific papers, gov reports
- Form-field reading in compliance workflows
- Receipt/invoice line-item parsing
Pricing
| Tier | Price | Quota (pages/mo) |
|---|---|---|
| Free | $0 | 50 pages |
| Hobby | $19/mo | 250 pages |
| Pro | $99/mo | 2,000 pages |
| Business | $499/mo | 15,000 pages, 99.9% SLA |
| Enterprise | Custom | Unlimited, VPC, SOC 2 path |
Quotas measure pages processed (not calls) ā a 3-page PDF counts as 3 against your monthly quota. Keeps pricing fair for users running small and large PDFs alike.
Install (coming soon)
{
"mcpServers": {
"pdf-tables": {
"url": "https://pdf-tables-mcp.vercel.app/api/mcp",
"headers": {
"Authorization": "Bearer pdt_live_YOURKEY"
}
}
}
}
License
MIT
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