# mcp_server_tesseract

> mcp_server_tesseract — lka-mcp-server-tesseract. Use this tool when you need to manage and integrate Tesseract OCR capabilities into your project, solving text recognition and extraction problems. It provides a server interface for Tesseract, accepting image inputs and generating recognized text outputs. Ideal for use cases involving automated text extraction, document scanning, and image processing, especially in development environments with Git version control.

Canonical page: https://skillsregistry.net/skills/lka-mcp-server-tesseract  
JSON: https://api.skillsregistry.net/v1/skills/lka-mcp-server-tesseract

## Description

MCP Server for tesseract

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lka/mcp_server_tesseract)

## 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": "lka-mcp-server-tesseract"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lka-mcp-server-tesseract` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lka-mcp-server-tesseract/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