# mimo-vision-mcp

> mimo-vision-mcp — mikulovesuki-mimo-vision-mcp. Use this tool when you need to enable text-only large language models (LLMs) with vision capabilities to analyze and understand image content. It solves problems such as image description, text extraction, and content analysis by utilizing vision models like Xiaomi MiMo-V2.5 through interfaces like analyze_image, describe_image, and extract_text_from_image. This tool is ideal for applications requiring image-based information extraction and description, providing outputs like text descriptions and extracted text from images.

Canonical page: https://skillsregistry.net/skills/mikulovesuki-mimo-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mikulovesuki-mimo-vision-mcp

## Description

Gives text-only LLMs vision capabilities via MCP, using vision models like Xiaomi MiMo-V2.5 to analyze images, describe content, and extract text through tools such as analyze_image, describe_image, and extract_text_from_image.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tcldjdvkal)
- **Repository:** <https://github.com/mikulovesuki/mimo-vision-mcp>

## 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": "mikulovesuki-mimo-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikulovesuki-mimo-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikulovesuki-mimo-vision-mcp/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
