# pdf-mcp

> pdf-mcp — sandraschi-pdf-mcp. Use this tool when you need to extract, manipulate, and analyze data from PDFs, or convert them to other formats. It solves problems related to PDF processing, annotation, and search, providing a unified interface for various operations. The tool accepts PDF files as input and outputs extracted data, converted files, or annotated PDFs, making it ideal for tasks that require in-depth PDF analysis and processing.

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

## Description

Full-stack PDF intelligence MCP server for extracting, manipulating, annotating, converting, validating, and RAG-searching PDFs through a unified tool surface and React workbench.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lma315m5op)
- **Repository:** <https://github.com/sandraschi/pdf-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": "sandraschi-pdf-mcp"
    }
  }
}
```

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