Frank-ay

Frank-ay / mimo-mcp

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把小米 MiMo 全模态能力(对话/图像/视频/TTS/声音克隆)封装成 stdio MCP Server,Claude Code 与 Codex 可直接调用

platform.xiaomimimo.com claude-code codex fastmcp mcp mcp-server
10
1
100% credibility
Found May 02, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A local web dashboard and server that wraps Xiaomi MiMo's AI tools for chat, image/video analysis, speech synthesis, and voice creation into an easy-to-use interface for personal experimentation.

How It Works

1
🔍 Discover mimo-mcp

You stumble upon this handy tool on GitHub that unlocks fun AI features like talking voices and smart image insights right on your computer.

2
📦 Get everything ready

Download the package, connect your free AI service account, and prepare it with a quick setup so it's all yours.

3
🚀 Open your personal dashboard

Hit launch and watch your colorful web control panel come alive, filled with easy buttons for voices, speech, and visuals.

4
🎤 Build custom voices

Play with cloning real voices from audio clips or designing new ones by describing what you want, saving them to your library.

5
🗣️ Create speech and insights

Type words to hear them spoken perfectly, or upload photos and videos to get clever descriptions and understandings.

🎉 Enjoy your AI playground

Everything works smoothly—chat, speak, see—with your voices and creations ready anytime from your private dashboard.

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AI-Generated Review

What is mimo-mcp?

mimo-mcp wraps Xiaomi MiMo's multimodal AI capabilities—like chat, image/video understanding, TTS (including mimo tts v2 and xiaomi mimo tts), voice cloning, and ASR—into a stdio MCP server. Developers get 11 MCP tools that Claude Code, Codex, or similar code assistants can call directly via simple scripts, plus a local web console with pages for dashboard, sandbox, TTS batch synthesis, vision analysis, voice library management, cloning, design, ASR, and audit logs. Built in Python with FastAPI and React, it handles API keys, token plans, and local SQLite storage for voices out of the box.

Why is it gaining traction?

It stands out by making MiMo's strong Chinese TTS models (mimo v2 pro tts, mimo v2 tts github) and voice features instantly usable in MCP ecosystems without custom wrappers—run one script and register to Claude Code or Codex. The web UI supports long-text batch TTS with auto-segmentation and SSE streaming, plus video chunking for files over 50MB via yt-dlp and ffmpeg. Early adopters on github mimo v2 pro and xiaomi mimo tts repos praise the one-command setup bridging MiMo to code/mcp workflows.

Who should use this?

AI tool builders integrating multimodal APIs into IDE assistants like Claude Code or Codex, especially those needing mimo tts v2 or voice cloning for apps. Voice AI devs prototyping with MiMo's embodied github features or radar-like audio tasks. Python scripters tired of manual API calls for xiaomi mimo tts in batch or vision pipelines.

Verdict

Grab it if you're experimenting with MiMo in MCP setups—docs and scripts make setup dead simple despite 10 stars and 1.0% credibility score. Still M0 scaffold with ASR pending; test lightly until M5 stabilizes full flows.

(198 words)

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