Elevenlabs MCP

Product Introduction

1. ElevenLabs MCP is an official server implementation that enables AI applications like Claude Desktop and Cursor to interact with ElevenLabs' Text-to-Speech API and audio processing tools through a Model Context Protocol interface.
2. The core value lies in bridging advanced voice synthesis capabilities with AI agent workflows, allowing developers to implement voice-enabled features through simple text prompts without direct API integration.

Main Features

1. Provides programmatic access to ElevenLabs' voice cloning system, enabling users to create custom synthetic voices through API calls and store them in personal voice libraries.
2. Supports batch audio processing operations including speech-to-text conversion with speaker diarization, voice style conversion between pre-trained models, and audio file format transformations.
3. Enables deployment of voice agents capable of executing outbound communication tasks such as automated phone calls through integration with workflow automation platforms.

Problems Solved

1. Eliminates complex API integration requirements for developers wanting to implement ElevenLabs' speech synthesis in AI agent workflows through standardized MCP protocol compliance.
2. Serves AI application developers building voice-enabled assistants and content creators requiring high-volume audio production capabilities within existing development environments.
3. Addresses use cases ranging from real-time voice response systems for chatbots to automated audiobook production pipelines with multi-speaker voice allocation.

Unique Advantages

1. Official implementation guarantees compatibility with ElevenLabs API updates and provides priority access to new voice models before public release.
2. Features time-optimized audio processing pipelines that parallelize voice synthesis tasks while maintaining <500ms latency for sub-30s audio generations.
3. Maintains competitive edge through exclusive access to experimental features like real-time voice modulation and acoustic environment simulation parameters.

Frequently Asked Questions (FAQ)

1. How do I handle API credit consumption monitoring? The system automatically tracks usage through the ElevenLabs dashboard and provides warning thresholds when reaching 75%/90% of monthly allocation.
2. Why do some operations timeout during local testing? Voice design and audio isolation tasks may exceed default 30s MCP inspector timeouts but function properly in production environments with async callback support.
3. Where are output files stored when using relative paths? The ELEVENLABS_MCP_BASE_PATH environment variable defines the root directory for file operations, defaulting to platform-specific user document folders if unspecified.