# PDF MCP Flow

> Use this tool when you need to efficiently process PDF documents, extract relevant information, and convert formats for further analysis or integration with large language models (LLMs). It solves problems related to document parsing, data extraction, and format compatibility, accepting PDF inputs and producing outputs in Markdown, Word, or extracted data formats. Ideal for use cases involving batch document processing, intelligent search, and workflow automation in LLM and RAG contexts.

Canonical page: https://skillsregistry.net/skills/dublin1231-pdf-mcp-flow  
JSON: https://api.skillsregistry.net/v1/skills/dublin1231-pdf-mcp-flow

## Description

Enables AI-driven PDF document processing including PDF to Markdown conversion, intelligent text and table extraction, image extraction, format conversion between PDF/Word/Markdown, batch processing, and fuzzy search - optimized for LLM context and RAG workflows.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f8lznmqnnx)
- **Repository:** <https://github.com/Dublin1231/PDF_MCP_Flow>

## 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": "dublin1231-pdf-mcp-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dublin1231-pdf-mcp-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dublin1231-pdf-mcp-flow/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