# Super-MCP-OCR-Deepseek

> Super-MCP-OCR-Deepseek — slamsmart-super-mcp-ocr-deepseek. Use this tool when you need to analyze visual documents or images with text-only AI models, as it solves the problem of limited input formats by converting images, PDFs, and documents into readable text through OCR capabilities. It takes in files such as images, PDFs, Office documents, and text files, and outputs pure text for further analysis. This enables the use of text-only LLMs like DeepSeek in scenarios where visual data needs to be understood.

Canonical page: https://skillsregistry.net/skills/slamsmart-super-mcp-ocr-deepseek  
JSON: https://api.skillsregistry.net/v1/skills/slamsmart-super-mcp-ocr-deepseek

## Description

An MCP server that gives text-only LLMs like DeepSeek vision capabilities by OCRing images, PDFs, Office documents, and text files into pure text. It provides tools like read_document and ocr_image to enable file analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fpecjs6aj7)
- **Repository:** <https://github.com/slamsmart/Super-MCP-OCR-Deepseek>

## 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": "slamsmart-super-mcp-ocr-deepseek"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slamsmart-super-mcp-ocr-deepseek` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slamsmart-super-mcp-ocr-deepseek/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