# Document Intelligence MCP Server

> Use this tool when you need to extract and analyze data from PDF documents, including scanned files, to automate document processing and improve search capabilities. It solves problems related to manual data entry, document searching, and text extraction, with features like automatic OCR processing and caching for enhanced performance. Ideal for use cases involving large volumes of documents, such as data migration, research, and compliance.

Canonical page: https://skillsregistry.net/skills/dshivasane-building-an-mcp-server-with-ocr  
JSON: https://api.skillsregistry.net/v1/skills/dshivasane-building-an-mcp-server-with-ocr

## Description

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ae8ec97eig)
- **Repository:** <https://github.com/dshivasane/Building-an-MCP-Server-with-OCR>

## 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": "dshivasane-building-an-mcp-server-with-ocr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dshivasane-building-an-mcp-server-with-ocr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dshivasane-building-an-mcp-server-with-ocr/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