Speech Interface (Faster Whisper)
1-Click ReadyIntegrates voice interaction capabilities using faster-whisper and PyAudio for speech recognition an...
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Slack
Experience the most powerful MCP server for Slack workspaces with advanced message and channel support. This feature-rich server allows fetching messages from channels, threads, DMs, and group DMs with embedded user info and smart history pagination by date or count. It supports enterprise workspaces, caching for faster access, and flexible transports like Stdio and SSE with proxy settings. Designed for stealth operation or secure access via OAuth, it integrates channel and thread lookups by name or ID to give rich, contextual Slack workspace data efficiently and reliably. Perfect for developers needing robust Slack data handling.
More for AI and Machine Learning
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Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.
ElevenLabs
Unleash powerful Text-to-Speech and audio processing with the official ElevenLabs MCP server. It enables MCP clients like Claude Desktop, Cursor, and OpenAI Agents to generate speech, clone voices, transcribe audio, and create unique sounds effortlessly. Customize voices, convert recordings, and build immersive audio scenes with easy-to-use APIs designed for creative and practical applications. This server integrates seamlessly, expanding your AI toolkit to bring rich, dynamic audio experiences to life across various platforms and projects.
Unity
Unlock powerful AI-driven control in Unity with Unity-MCP, a versatile bridge linking large language models to Unity's tools. It enables AI to understand and utilize Unity’s features—like creating, modifying, and managing GameObjects, Assets, Scenes, and more—directly inside the Unity Editor. Developers can extend Unity-MCP by adding custom tools to tailor AI interactions for advanced workflows, rapid prototyping, or automation. Designed for flexibility and future player build support, this project empowers you to integrate intelligent AI capabilities seamlessly into your Unity development process.
Magic
Create stunning UI components instantly with Magic AI Agent using natural language commands. This powerful tool supports popular IDEs like Cursor, Windsurf, and VSCode, generating modern, customizable React components inspired by 21st.dev’s library. Enjoy real-time previews, full TypeScript support, and access to professional brand assets via SVGL. Magic AI Agent seamlessly integrates generated components into your project, respecting your code style, and handles designs from simple buttons to complex interactive forms. Stay up to date with new community-published components and enhance your UI development workflow effortlessly.
Ultra (Multi-AI Provider)
Unified server providing access to OpenAI O3, Google Gemini 2.5 Pro, and Azure OpenAI models with automatic usage tracking, cost estimation, and nine specialized development tools for code analysis, debugging, and documentation generation.
TypeScript Refactoring
Provides TypeScript/JavaScript code analysis and refactoring capabilities using ts-morph, enabling intelligent code transformations with symbol renaming, file moving with import path corrections, cross-file reference updates, type signature analysis, and module dependency exploration across entire codebases.
Dual-Cycle Reasoner
Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.