# mimo-vision-mcp

> mimo-vision-mcp — jack4862-mimo-vision-mcp. Use this tool when you need to enhance text-only models with image recognition capabilities, solving problems such as describing images, analyzing multiple images, extracting text through OCR, and validating image information. It accepts various input formats, including local paths, URLs, file://, and base64 data, and provides output that can be used to improve the accuracy of main models like deepseek-v4-flash. This tool is ideal for use cases where multimodal understanding is required, such as image-based question answering or text-image analysis.

Canonical page: https://skillsregistry.net/skills/jack4862-mimo-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jack4862-mimo-vision-mcp

## Description

An MCP server that uses Xiaomi MiMo v2.5 multimodal model to provide image recognition capabilities (description, multi-image analysis, OCR, and image info validation) for text-only main models like deepseek-v4-flash, accepting local paths, URLs, file://, and base64 data inputs.

## 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/oc2kjyfq1v)
- **Repository:** <https://github.com/jack4862/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": "jack4862-mimo-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jack4862-mimo-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jack4862-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