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+---
+title: "Vibe Coding with Goose and the Speech MCP"
+description: "Explore the new Speech MCP server that enables voice-controlled coding and natural conversation with your AI agent"
+authors:
+ - adewale
+---
+
+
+
+Imagine creating an app just by describing what you want out loud, like you’re talking to a friend. That’s the magic of vibe coding: turning natural language into working code with the help of an AI agent. And while typing a prompt gets the job done, saying it out loud hits different 🔥 The new [Speech MCP server](https://block.github.io/goose/docs/tutorials/speech-mcp) has quite literally entered the chat.
+
+
+
+In a recent [Wild Goose Case livestream](https://www.youtube.com/watch?v=Zey9GHyXlHY&ab_channel=BlockOpenSource), hosts [Ebony Louis](https://www.linkedin.com/in/ebonylouis/) and [Adewale Abati](https://www.linkedin.com/in/acekyd/) were joined by [Max Novich](https://www.linkedin.com/in/maksym-stepanenko-26404867) from Block's AI tools team, who demonstrated an exciting new extension - the [Speech MCP server](https://github.com/Kvadratni/speech-mcp).
+
+During the livestream, Max demonstrated this by creating an entire web application using only voice commands - no keyboard or mouse required. This resulted in a vibrant, animated webpage with 3D effects, synthwave aesthetics, and interactive elements, all created through natural conversation with Goose.
+
+
+
+
+## The Speech MCP Server
+
+[Speech MCP](https://github.com/Kvadratni/speech-mcp) is an open source MCP server that enables voice interaction with AI agents like Goose. What makes it special is that it runs entirely locally on your machine, making it:
+
+- LLM agnostic
+- Privacy-focused
+- Cost-effective compared to cloud-based alternatives
+- Accessible without internet connectivity
+
+### Key Features
+
+1. **Local Speech Processing**: Uses two main models:
+ - Faster Whisper: An efficient method to convert speech to text
+ - Coqui TTS: A Japanese-engineered text-to-speech model with 54 natural-sounding voices
+
+2. **Voice Selection**: Choose from 54 different voices with varying characteristics and personalities
+
+3. **Multi-Speaker Narration**: Generate and play conversations between multiple voices
+
+4. **Audio Transcription**: Convert audio/video content to text with timestamps and speaker detection
+
+## Live Demo Highlights
+
+During the demonstration, Max showcased several impressive capabilities:
+
+1. **Voice-Controlled Development**:
+ - Created animated text effects
+ - Implemented 3D transformations
+ - Added synthwave aesthetics with gradients and grids
+ - Integrated music controls
+
+2. **System Integration**:
+ - Controlled applications like Discord using voice commands
+ - Navigated file system and development environment
+ - Generated and managed audio content
+
+3. **Natural Interaction**:
+ - Fluid conversation with Goose
+ - Real-time feedback and adjustments
+ - Multi-voice narration for documentation
+
+## Getting Started
+
+To try the Speech MCP server yourself:
+
+1. Install the required audio library (PortAudio):
+ ```bash
+ # For macOS
+ brew install portaudio
+
+ # For Linux
+ apt-get install portaudio # or dnf install portaudio
+ ```
+
+2. Install the extension directly using the one-click [deep link install](goose://extension?cmd=uvx&&arg=-p&arg=3.10.14&arg=speech-mcp@latest&id=speech_mcp&name=Speech%20Interface&description=Voice%20interaction%20with%20audio%20visualization%20for%20Goose) in Goose
+
+
+## Join the Development
+
+The Speech MCP server is [open-source](https://github.com/Kvadratni/speech-mcp) and welcomes contributions. You can also connect with Max on [Discord](https://discord.gg/block-opensource) for questions and collaboration.
+
+Voice interactions with AI agents like Goose with the power and tools to act on instructions provides a different kind of vibe that makes the future feel closer than ever. Whether you're interested in vibe coding, accessibility improvements, or just want to feel a bit more like Tony Stark while getting Goose to pull a J.A.R.V.I.S, the Speech MCP server offers a glimpse into the future of human-AI collaboration - and it's available today.
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