# pdf-tables-mcp

> Use this tool when you need to extract structured data from PDFs, such as tables with citations, to solve data integration and document analysis problems. It takes PDF files as input and outputs clean JSON tables with per-cell citations to the source page, enabling accurate and reliable data extraction. Ideal for use cases involving data mining, research, and document processing.

Canonical page: https://skillsregistry.net/skills/mehtaphysical13-pdf-tables-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mehtaphysical13-pdf-tables-mcp

## Description

Enables agents to extract clean structured JSON tables from any PDF with per-cell citations to the source page.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o6brtp0evh)
- **Repository:** <https://github.com/mehtaphysical13/pdf-tables-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mehtaphysical13-pdf-tables-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mehtaphysical13-pdf-tables-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mehtaphysical13-pdf-tables-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt