A
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qualityB
maintenanceProvides MCP servers for ElevenLabs (text-to-speech and sound effects) and Meshy.ai (3D generation), with a request preview mode to inspect API calls without incurring costs.
MIT
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"Servers for General Metacognitive MCP for Complex Problem Solving" matching MCP servers:
- Alicense-qualityBmaintenanceEnables ChatGPT to generate ElevenLabs speech from text, returning playable MP3 audio, with voice listing and preference management.MIT
- AlicenseBqualityFmaintenanceAn enhanced server for ElevenLabs that enables high-quality text-to-speech, voice cloning, and multi-speaker dialogue management. It features advanced conversational tools for transcript retrieval, history tracking, and emotional audio synthesis using the v3 model.29528MIT
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Bolna MCP Serverofficial
Alicense-qualityCmaintenanceRemote MCP server wrapping the Bolna voice AI REST API, providing 11 tools (7 read, 4 write) for voice AI interactions.1MIT- Alicense-qualityDmaintenanceProvides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.9MIT
- Alicense-qualityDmaintenanceEnables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.MIT
- Alicense-qualityCmaintenanceEnables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.3BSD 3-Clause
- Alicense-qualityCmaintenanceA text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.MIT
- Alicense-qualityBmaintenanceLocal-first speech-to-text and text-to-speech MCP server. Hot-swappable engines via config.yaml — no code changes, no API keys required.2MIT
- Alicense-qualityAmaintenanceHosted text-to-speech MCP server for AI agents with 54 neural voices in 9 languages, including Brazilian Portuguese. Pay-per-use API, no GPU or subscriptions needed.MIT
- Alicense-qualityBmaintenanceLocal MCP server for neural text-to-speech using Kokoro ONNX engine on CPU, supporting SSML tags, multiple voice profiles, and zero-GPU operation for low-latency speech synthesis.31MIT
- Alicense-qualityDmaintenanceA Model Context Protocol server that wraps Volcengine's Text-to-Speech API, allowing users to generate speech from text using natural language parameters for customizing voice type, emotion, and speed.16MIT
- Alicense-qualityCmaintenanceAn MCP server for AI voice synthesis with an inline audio player, allowing users to give their AI assistant a custom cloned voice using DashScope or ElevenLabs.MIT
- Alicense-qualityDmaintenanceConnects Gmail and Telegram via an MCP server, enabling users to interact with their emails through a Telegram bot with commands for summaries and audio.3MIT
- Alicense-qualityCmaintenanceA Model Context Protocol server that integrates high-quality text-to-speech capabilities with Claude Desktop and other MCP-compatible clients, supporting multiple voice options and audio formats.111MIT
- Alicense-qualityDmaintenanceEnables bidirectional voice interaction for Claude Code using local speech-to-text and text-to-speech models optimized for Apple Silicon. It provides tools to listen to user speech via microphone and speak responses aloud through system speakers.16Apache 2.0
- Alicense-qualityBmaintenanceTranscribe voice messages to text and generate spoken audio from text, served as cached Ogg/Opus files for instant playback.3MIT
- Alicense-qualityDmaintenanceProvides sound alerts, voice messages, and macOS notifications for Claude Code and other MCP-compatible AI assistants.22MIT
- Flicense-qualityDmaintenanceA server that enables real-time checking and automated correction suggestions for Japanese technical documents using textlint's linting capabilities.1