Mimika Studio
MimikaStudio - A local-first application for macOS (Apple Silicon) + Agentic MCP Support
What is Mimika Studio?
Mimika Studio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mimikastudio - a local-first application for macos (apple silicon) + agentic mcp support
MimikaStudio - A local-first application for macOS (Apple Silicon) + Agentic MCP Support
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MimikaStudio - A local-first application for macOS (Apple Si
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mimikastudioConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Mimika Studio
MimikaStudio is a local-first macOS application for Apple Silicon that bundles multiple AI-powered text-to-speech engines (Kokoro, Qwen3-TTS, and Chatterbox) with an MCP server exposing over 50 tools for voice management, audiobook generation, and system monitoring. Designed for privacy-conscious users, all processing happens on-device without sending audio data to the cloud. The MCP integration lets AI assistants trigger TTS generation, clone voices from reference audio, monitor job progress, and manage the audiobook library through natural language.
Prerequisites
- macOS 13 (Ventura) or later on Apple Silicon (M1/M2/M3/M4)
- Python 3.10+ and Homebrew installed
- Flutter 3.x with desktop support enabled
- 8 GB RAM minimum (16 GB+ recommended for Qwen3-TTS 1.7B model)
- 5-10 GB free disk space for TTS model downloads
Clone the repository and run the installer
Clone MimikaStudio and run the automated install script, which sets up dependencies, the Python virtual environment, database, and Flutter configuration in a single step.
git clone https://github.com/BoltzmannEntropy/MimikaStudio.git
cd MimikaStudio
./install.shInstall system dependencies manually (if skipping install.sh)
If you prefer a manual setup, install the required system packages and Python dependencies using Homebrew and pip.
brew install espeak-ng ffmpeg [email protected]
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install --no-deps chatterbox-tts==0.1.6
cd backend && python3 database.py && cd ..Pre-download TTS models
Download the Kokoro and Qwen3 models before first use to avoid delays during generation. Kokoro is ~300 MB and Qwen3 is ~4 GB.
source venv/bin/activate
./bin/mimikactl models download kokoro
./bin/mimikactl models download qwen3Start all services including the MCP server
Launch MimikaStudio's backend, MCP server (on port 8010), and Flutter UI together using the control script.
source venv/bin/activate
./bin/mimikactl upConfigure your MCP client to connect to the local server
The MCP server runs at http://127.0.0.1:8010 using JSON-RPC 2.0. Point your MCP client to this endpoint to expose all 50+ tools including TTS generation and audiobook creation.
Mimika Studio Examples
Client configuration
Configure your MCP client to connect to the locally running MimikaStudio MCP server. Since it is an HTTP server rather than a stdio process, use a bridge like mcp-remote or configure the client to support SSE/HTTP transport directly.
{
"mcpServers": {
"mimikastudio": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"http://127.0.0.1:8010"
]
}
}
}Prompts to try
Once connected, use these prompts to control MimikaStudio's TTS and audiobook features through your AI assistant.
- "List all available Kokoro voices."
- "Generate speech from this text using the bf_emma voice at 1.2x speed."
- "Convert this PDF to an audiobook using Kokoro with the bm_george voice."
- "Clone my voice using the reference audio file voice_sample.wav and generate speech."
- "Show the current CPU and RAM usage on this machine."Troubleshooting Mimika Studio
install.sh fails with missing brew packages
Make sure Homebrew is installed at /opt/homebrew (Apple Silicon default). Run `brew doctor` to identify issues, then retry. If espeak-ng or ffmpeg fail to install, try `brew update` first.
MCP server not reachable at port 8010
Run `./bin/mimikactl mcp status` to check if the MCP service started. If not, view logs with `./bin/mimikactl logs mcp`. Ensure the Python venv is activated before starting services.
Qwen3-TTS generates silent or garbled audio
Verify the 4 GB Qwen3 model downloaded completely with `./bin/mimikactl models download qwen3`. Incomplete downloads cause silent output. Reference audio for voice cloning must be at least 3 seconds long.
Frequently Asked Questions about Mimika Studio
What is Mimika Studio?
Mimika Studio is a Model Context Protocol (MCP) server that mimikastudio - a local-first application for macos (apple silicon) + agentic mcp support It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Mimika Studio?
Follow the installation instructions on the Mimika Studio GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Mimika Studio?
Mimika Studio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Mimika Studio free to use?
Yes, Mimika Studio is open source and available under the GPL-3.0 license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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