# mimo-vision-mcp

> mimo-vision-mcp — wenren93-mimo-vision-mcp. Use this tool when you need to analyze images and extract valuable insights, such as OCR, visual evidence, and object coordinates. It solves problems like image understanding, text recognition, and object detection, providing a structured JSON output for easy integration. The tool takes an image as input and returns a JSON response, making it ideal for applications requiring visual data analysis and interpretation.

Canonical page: https://skillsregistry.net/skills/wenren93-mimo-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wenren93-mimo-vision-mcp

## Description

A local MCP server that exposes Xiaomi's MiMo-V2.5 vision model as an inspect_image tool, enabling AI agents to analyze images with structured JSON output including OCR, visual evidence, and normalized coordinates.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uig1wjzbnq)
- **Repository:** <https://github.com/wenren93/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": "wenren93-mimo-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wenren93-mimo-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wenren93-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