Systemprompt Multimodal MCP Client

Systemprompt Multimodal MCP Client

By Ejb503 GitHub

A Multi-modal MCP client for voice powered agentic workflows

mcp gemini
Overview

What is Systemprompt Multimodal MCP Client?

Systemprompt Multimodal MCP Client is a modern voice-controlled AI interface that enables agentic workflows through natural speech and multimodal inputs, powered by Google Gemini and the Model Control Protocol (MCP).

How to use Systemprompt Multimodal MCP Client?

To use the client, clone the repository, install dependencies, configure the application with necessary API keys, and start the development server to access the interface.

Key features of Systemprompt Multimodal MCP Client?

  • Natural Voice Control: Control AI workflows using natural speech.
  • Multimodal Understanding: Process text, voice, and visual inputs simultaneously.
  • Extensible Tool System: Add custom tools and workflows through MCP.
  • Real-time Voice Synthesis: Get instant audio responses from AI interactions.

Use cases of Systemprompt Multimodal MCP Client?

  1. Building voice-controlled AI applications.
  2. Automating complex AI workflows with voice commands.
  3. Enhancing user interaction with AI through multimodal inputs.

FAQ from Systemprompt Multimodal MCP Client?

  • Is the project compatible with all browsers?

No, it is currently not compatible with Safari but works on Chrome with Linux, Windows, and MacOS.

  • Is there a community for support?

Yes, you can join the community on Discord for support and discussions.

  • What are the prerequisites for using the client?

You need Node.js 16.x or higher and npm 7.x or higher.

Content

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:

FeatureDescription
🗣️ Multimodal AIUnderstand and process text, voice, and visual inputs naturally
🛠️ MCP (Model Control Protocol)Execute complex AI workflows with a robust tooling system
🎙️ Voice-First DesignControl 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:

    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

ResourceLink
💬 DiscordJoin our community
🐛 IssuesGitHub Issues
📚 DocsDocumentation

📄 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!

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