MIMO Image Recognition MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MIMO_MODEL | Yes | 要调用的 MIMO 模型名称，例如 mimo-v2.5 | |
| MIMO_API_KEY | Yes | 你的 MIMO API Key | |
| MIMO_API_BASE | Yes | MIMO API 请求地址，通常为 https://api.xiaomimimo.com/v1 或 https://token-plan-cn.xiaomimimo.com/v1 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| understand_imageA | Use this tool for ALL image understanding tasks. This tool calls Xiaomi MIMO multimodal model to inspect and understand images. Whenever the user asks to read, understand, describe, compare, OCR, extract text from, analyze, classify, or answer questions about an image, screenshot, photo, UI capture, chart, poster, document image, receipt, label, or any visual file, you MUST call this tool before giving a final answer. 调用小米 MIMO 多模态模型理解图片。 CRITICAL: This is the ONLY tool allowed to open, read, or see image files (.png, .jpg, .webp). If you have a file path pointing to an image, DO NOT use Read, cat, or any file-reading shell commands. Using standard file-read tools on binary images will cause a system crash. Always use this tool to look at or open an image. 支持单图和多图。Agent 应根据当前任务自己填写 prompt。 Args: prompt: Agent 自己决定的图片理解任务 image_path: 单张本地图片路径 image_url: 单张网络图片 URL 或 data:image base64 image_paths: 多张本地图片路径 image_urls: 多张网络图片 URL system_prompt: 可选系统提示词 temperature: 输出随机性，越低越稳定 max_tokens: 最大输出长度 Returns: MIMO 模型返回的图片理解结果。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| mimo-config |
TDQS
Scored across 1 tool
With only one tool, there is no ambiguity. The tool's purpose is clearly defined and distinct from any other tools.
The single tool follows a clear verb_noun pattern (understand_image), consistent and predictable.
One tool is borderline for an image recognition server; while it covers many tasks via a multimodal model, typical MCP servers have 3-15 tools for better granularity.
The tool claims to handle all image understanding tasks (OCR, description, analysis, etc.), covering the domain well. Minor gaps like specific image processing are outside scope.