elevenlabs-mcp
ElevenLabs MCP is an official Model Context Protocol server that integrates ElevenLabs' text-to-speech and audio processing APIs with AI clients like Claude Desktop, Cursor, and Windsurf. It enables voice generation, voice cloning, audio transcription, and sound design through a unified interface requiring only an API key and Python package manager.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | elevenlabs/elevenlabs-mcp |
| Owner | elevenlabs |
| Primary language | Python |
| License | MIT — OSI-approved |
| Stars | 1.5k |
| Forks | 239 |
| Open issues | 6 |
| Latest release | v0.10.0 (2026-06-19) |
| Last updated | 2026-07-06 |
| Source | https://github.com/elevenlabs/elevenlabs-mcp |
What elevenlabs-mcp is
Python-based MCP server exposing ElevenLabs APIs (TTS, voice design, audio isolation, speaker identification) as tools accessible to MCP-compatible clients. Supports configurable output modes (files, base64-encoded resources, or both), optional data residency settings, and integrates via environment variables passed to the MCP configuration.
Get the elevenlabs-mcp source
Clone the repository and explore it locally.
git clone https://github.com/elevenlabs/elevenlabs-mcp.gitcd elevenlabs-mcp# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires UV (Rust-based Python package manager) or pip install; Python 3.x environment must be available. Claude Desktop requires developer mode on Windows.
- API key management: store securely (e.g., environment variables, secrets manager); never commit to version control. Defaults to US data residency unless enterprise residency keys are configured.
- Output mode choice (files vs. resources vs. both) depends on deployment context; serverless/containerized environments benefit from resource mode to avoid disk I/O.
- Credit consumption model: monitor usage patterns and set alerts; free tier quota can be exhausted quickly with high-volume requests.
- MCP client compatibility: tested with Claude Desktop, Cursor, Windsurf, and OpenAI Agents; verify target client supports MCP before deployment.
When to avoid it — and what to weigh
- High-Volume, Cost-Sensitive Production — ElevenLabs credits are required; free tier offers 10k/month. Heavy audio workloads may incur significant API costs; evaluate pricing against in-house or cheaper alternatives before committing.
- Offline or Air-Gapped Deployments — Requires live connectivity to ElevenLabs cloud API. No option for on-premise or local model inference from this server.
- Complex Audio Mixing and Post-Production — This is an API bridge, not a DAW or audio workstation. Advanced mixing, effects, or mastering workflows should use dedicated audio software.
- Strict Data Sovereignty Outside US/EU — Data residency is enterprise-only; default region is US. If non-negotiable residency is a requirement, verify ElevenLabs' enterprise terms separately.
License & commercial use
MIT License permits commercial use, modification, and distribution with attribution. Permissive OSI license with minimal restrictions.
MIT license permits commercial use. However, commercial use of the MCP server itself is separate from commercial use of ElevenLabs' underlying APIs, which are governed by ElevenLabs' Terms of Service and require paid accounts or enterprise agreements for production workloads. Verify ElevenLabs' commercial licensing and credit costs separately.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
API key is the sole authentication mechanism; must be treated as a secret (not logged, not committed). MCP protocol operates in-process with local clients; no network attack surface for the server itself. ElevenLabs API communication is HTTPS. No encryption of local output files by default—consider disk encryption for sensitive audio. Resource mode (base64) mitigates file I/O risks but increases memory usage.
Alternatives to consider
OpenAI Text-to-Speech API
Simpler API, broader platform integration, but fewer voice customization and cloning options. No official MCP server; requires custom wrapper.
Google Cloud Text-to-Speech
Enterprise-grade, multilingual support, and on-premise options available. Steeper learning curve and may be overkill for small projects.
Local TTS (e.g., Coqui TTS, Piper)
Offline, free, privacy-preserving, but lower audio quality and limited voice cloning. Requires local compute and maintenance of model weights.
Build on elevenlabs-mcp with DEV.co software developers
Evaluate ElevenLabs MCP for your team. Requires API key and Python; free tier available. Contact us to assess production costs and licensing.
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elevenlabs-mcp FAQ
Do I need an ElevenLabs account to use this MCP server?
Can I use this server in production without paying for ElevenLabs?
What MCP clients are supported?
How do I troubleshoot timeouts when generating voice or audio?
Software development & web development with DEV.co
Need help beyond evaluating elevenlabs-mcp? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and mcp servers integrations — and maintain them long-term.
Ready to Add AI Voice to Your Workflow?
Evaluate ElevenLabs MCP for your team. Requires API key and Python; free tier available. Contact us to assess production costs and licensing.