mimo-vision-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mimo-vision-mcpExtract text from this image: /tmp/receipt.png"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
# MiMo Vision MCP Server
A lightweight Model Context Protocol (MCP) stdio server that enables LLM agents (such as Codex CLI/Desktop, Claude Desktop) to invoke the MiMo Vision model (mimo-v2.5) for local image understanding and OCR.
架构流程 (Architecture)
Codex / Claude (Client)
│ (JSON-RPC 2.0 via stdio)
▼
src/mimo_vision_mcp.py
│ (curl.exe with stream base64 payload)
▼
https://opencode.ai/zen/go/v1/chat/completions (model: mimo-v2.5)
│ (JSON Response)
▼
Recognition / Description Text returned to ClientWhy
curl.exe?
Some API gateways reject standard Python HTTP user agents / connection handshakes. Using native systemcurl.exeensures robust connections.
Related MCP server: picsense
目录结构 (Project Structure)
mimo-vision-mcp/
├── src/
│ └── mimo_vision_mcp.py # MCP stdio 服务端核心实现(纯标准库,零三方依赖)
├── tests/
│ └── test_mcp.py # 自动化测试脚本(生成测试图并验证协议连通性)
├── .env.example # 环境变量配置模版
├── .gitignore # Git 忽略配置
├── pyproject.toml # Python 打包与元数据配置
├── LICENSE # MIT 开源协议
└── README.md # 项目文档环境变量配置 (Environment Variables)
变量名 | 默认值 | 说明 |
| (必填) | MiMo / OpenCode API 密钥 |
|
| Chat Completions 接口地址 |
|
| 视觉模型名称 |
|
| 默认识别提示词 |
|
| 用于发起 HTTP 请求的 curl 可执行程序 |
工具接口 (Tool Definition)
mimo_vision
向 MiMo 视觉模型发送本地图片,返回文字识别或描述结果。
参数:
image_path(string, 必填): 本地图片文件的绝对路径(支持.png,.jpg,.jpeg,.webp,.gif,.bmp等)。prompt(string, 可选): 自定义提示词,如"识别图中的文字"、"这张图里有什么物体?"。model(string, 可选): 模型名称覆盖,默认mimo-v2.5。
安装与接入配置 (Setup Guide)
1. Codex 接入配置 (~/.codex/config.toml)
在你的 config.toml 中添加以下配置:
[mcp_servers.mimo_vision]
type = "stdio"
command = "python"
args = ["C:\\Users\\user\\Documents\\Codex\\2026-08-17\\mimo-vision-mcp\\src\\mimo_vision_mcp.py"]
startup_timeout_sec = 120
[mcp_servers.mimo_vision.env]
MIMO_API_KEY = "your-api-key"
MIMO_API_BASE = "https://opencode.ai/zen/go/v1/chat/completions"
MIMO_MODEL = "mimo-v2.5"2. Claude Desktop 接入配置 (claude_desktop_config.json)
{
"mcpServers": {
"mimo-vision": {
"command": "python",
"args": ["C:/Users/user/Documents/Codex/2026-08-17/mimo-vision-mcp/src/mimo_vision_mcp.py"],
"env": {
"MIMO_API_KEY": "your-api-key",
"MIMO_API_BASE": "https://opencode.ai/zen/go/v1/chat/completions",
"MIMO_MODEL": "mimo-v2.5"
}
}
}
}运行测试 (Testing)
$env:MIMO_API_KEY="your-api-key"
python tests/test_mcp.py许可协议 (License)
本项目采用 MIT License 授权。
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