⚠️ Deprecated — no longer maintained

This repository has been superseded. All new development and support lives in:

• systempromptio/systemprompt-template — start here. Self-hosted evaluation of the full systemprompt.io AI governance infrastructure.
• systempromptio/systemprompt-core — the underlying Rust library (MCP, A2A, OAuth 2.1, audit, compile-time extensions).

Learn more at systemprompt.io.

The original README is preserved below for historical reference.

---

Systemprompt Multimodal MCP Client

A modern voice-controlled AI interface powered by Google Gemini and Anthropic MCP (Model Control Protocol). Transform how you interact with AI through natural speech and multimodal inputs.

⚠️ Important Note: This open source project is currently in development and in early access. It is not currently compatible with Safari but has been tested on Chrome with Linux, Windows, and MacOS. If you have any problems, please let us know on Discord or GitHub.

If you find this project useful, please consider:

• ⭐ Starring it on GitHub
• 🔄 Sharing it with others
• 💬 Joining our Discord community

🌟 Overview

A modern Vite + TypeScript application that enables voice-controlled AI workflows through MCP (Model Control Protocol). This project revolutionizes how you interact with AI systems by combining Google Gemini's multimodal capabilities with MCP's extensible tooling system.

The Client supports both custom (user provided and configured) and Systemprompt MCP servers. Systemprompt MCP servers can be installed through the UX with a Systemprompt API key (free).

Custom MCP servers are not pre-configured and require a custom configuration file.

Create a local file mcp.config.custom.json in the config directory and add your MCP server configuration.

{
  "mcpServers": {
    "my-custom-server": {
      "id": "my-custom-server",
      "env": {
        "xxx": "xxx"
      },
      "command": "node",
      "args": [
        "/my-custom-server/build/index.js"
      ]
    }
  }
}

🎯 Why Systemprompt MCP?

Transform your AI interactions with a powerful voice-first interface that combines:

Feature	Description
🗣️ Multimodal AI	Understand and process text, voice, and visual inputs naturally
🛠️ MCP (Model Control Protocol)	Execute complex AI workflows with a robust tooling system
🎙️ Voice-First Design	Control everything through natural speech, making AI interaction more intuitive

Perfect for: Developers building voice-controlled AI applications and looking for innovative ways to use multimodal AI.

✨ Core Features

🎙️ Voice & Multimodal Intelligence

• Natural Voice Control: Speak naturally to control AI workflows and execute commands
• Multimodal Understanding: Process text, voice, and visual inputs simultaneously
• Real-time Voice Synthesis: Get instant audio responses from your AI interactions

🔄 AI Workflow Orchestration

• Extensible Tool System: Add custom tools and workflows through MCP
• Workflow Automation: Chain multiple AI operations with voice commands
• State Management: Robust handling of complex, multi-step AI interactions

💻 Developer Experience

• Modern Tech Stack: Built with Vite, React, TypeScript, and NextUI
• Type Safety: Full TypeScript support with comprehensive type definitions
• Hot Module Replacement: Fast development with instant feedback
• Comprehensive Testing: Built-in testing infrastructure with high coverage

🚀 Getting Started

Prerequisites

• Node.js 16.x or higher
• npm 7.x or higher
• A modern browser with Web Speech API support

Quick Start

1. Clone the repository

   git clone https://github.com/Ejb503/multimodal-mcp-client.git
   cd multimodal-mcp-client
   

2. Install dependencies

   npm install
   cd proxy
   npm install
   

3. Configure the application

   # Navigate to config directory
   cd config
   
   # Create local configuration files
   cp mcp.config.example.json mcp.config.custom.json
   

   Required API Keys:

   • Google AI Studio - Gemini API key
   • systemprompt.io/console - Systemprompt API key

   Add keys to .env (see .env.example for reference). note that the VITE_ prefix is required to share the keys with the MCP server and client.

4. Start development server

   npm run dev
   

   Access the development server at http://localhost:5173

🤝 Support & Community

Resource	Link
💬 Discord	Join our community
🐛 Issues	GitHub Issues
📚 Docs	Documentation

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔮 Future Development

We're actively working on expanding the capabilities of Systemprompt MCP Client with exciting new features and extensions. Stay tuned for updates!