# MCP PDF Extract

> Use this tool when you need to extract text content from PDF documents, solving problems like data access and text analysis for various applications. It takes a configured directory as input and outputs extracted text content for MCP clients, enabling seamless integration with tools like Claude Desktop. Ideal for use cases requiring automated PDF text extraction, such as document processing and information retrieval.

Canonical page: https://skillsregistry.net/skills/einsteindark-edgm-mcp-read-doc-local  
JSON: https://api.skillsregistry.net/v1/skills/einsteindark-edgm-mcp-read-doc-local

## Description

A Model Context Protocol server that enables listing and reading PDF documents from a configured directory, extracting text content for MCP clients like Claude Desktop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bk6j7nbcju)
- **Repository:** <https://github.com/einsteindark-edgm/mcp-read-doc-local>

## 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": "einsteindark-edgm-mcp-read-doc-local"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/einsteindark-edgm-mcp-read-doc-local` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/einsteindark-edgm-mcp-read-doc-local/pull`

---
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