ElevenLabs MCP. Generate high-fidelity audio, manage dubbing, and audit every generation.
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ElevenLabs MCP Server gives your AI agent full control over high-fidelity audio generation. Use lifelike voices, manage text-to-speech workflows, and handle multi-language dubbing directly from your client.
You can also audit usage, check quotas, and manage voice libraries all through natural conversation.
What your AI agents can do
Get history item
Retrieves specific details about a single audio generation job.
Get subscription
Checks your current account status, including character quota and usage limits.
Get user info
Retrieves general user profile information and cloud generation logs.
Send text to the agent, and it runs the text_to_speech tool to return audio metadata for speech synthesis.
List all available voices using list_voices or check specific voice properties with get_voice.
Start or track video and audio translation queues by listing or creating projects via list_projects.
Check your remaining character quota and subscription details using get_subscription.
View lists of past jobs with list_history, and pull details on a specific job using get_history_item.
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Supported MCP Clients
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ElevenLabs MCP Server: 10 Tools for Voice & Audio Control
Manage speech synthesis, voice libraries, dubbing projects, and usage tracking with these ten tools.
019d758fget history item
Retrieves specific details about a single audio generation job.
019d758fget subscription
Checks your current account status, including character quota and usage limits.
019d758fget user info
Retrieves general user profile information and cloud generation logs.
019d758fget voice
Fetches specific details about a single voice profile.
019d758flist history
Lists all past audio generation jobs, providing a summary of your history.
019d758flist models
Retrieves a list of available AI speech models for generation.
019d758flist projects
Lists all active or past dubbing and voice projects.
019d758flist pronunciation dictionaries
Retrieves available pronunciation dictionaries for advanced text input.
019d758flist voices
Returns a comprehensive list of every available voice profile in the system.
019d758ftext to speech
Converts user-provided text into audio metadata, supporting over 29 languages.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with ElevenLabs, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI agent gives you full control over high-fidelity audio generation with the ElevenLabs MCP Server. You can use lifelike voices, manage text-to-speech workflows, and handle multi-language dubbing straight from your client.
To generate audio, send your text, and your agent runs the text_to_speech tool to return audio metadata for speech synthesis, supporting over 29 languages. You can see all available voices by calling list_voices, or dig into specific voice details using get_voice.
Want to manage your audio library? You can list all voices with list_voices or check out the properties of a single voice profile using get_voice. For advanced text input, list_pronunciation_dictionaries pulls available pronunciation guides.
To handle multi-language dubbing, you manage your work by listing projects with list_projects. You can also track every past job by using list_history, and if you need the specifics on one particular generation, you grab it with get_history_item.
Need to keep tabs on your usage? get_subscription lets you check your character quota and subscription limits. You can also pull general user profile information and cloud generation logs using get_user_info.
How ElevenLabs MCP Works
- 1 First, subscribe to the ElevenLabs MCP server and enter your ElevenLabs API Key.
- 2 Next, ask your AI client to perform an audio task—like generating speech or checking a quota.
- 3 The agent runs the necessary tool (e.g.,
text_to_speech), and you get the resulting audio metadata or status update.
The bottom line is, your AI client talks directly to ElevenLabs, handling all the heavy lifting of audio generation without you having to touch the API dashboard.
Who Is ElevenLabs MCP For?
Anyone who needs high-quality audio content—from content creators needing voiceovers to developers testing TTS pipelines. If your workflow involves speech, dubbing, or voice tracking, this server is for you.
Generates voiceovers and dubs videos into multiple languages using natural language prompts.
Tests and debugs text-to-speech integrations and verifies voice settings directly from the chat interface.
Creates localized audio content and monitors character usage across different campaigns in real time.
Explores different voice models and stability settings by querying the available tools.
What Changes When You Connect
- Check your usage limits instantly. The
get_subscriptiontool tells you exactly how many characters you've used versus your monthly quota, preventing unexpected billing overruns. - Handle multi-language content production easily. By using
list_projects, you manage the translation queue for videos, automating the dubbing process for global marketing campaigns. - Inspect voice quality before generating. You can use
list_voicesto see every available profile, andget_voiceto check technical parameters like Stability and Similarity bounds. - Keep a clean record of everything. Instead of manual reports,
list_historyprovides a full, auditable list of all your past audio generation jobs. - Streamline complex media tasks. The
text_to_speechtool takes text and converts it into audio metadata, supporting 29+ languages in one call. - Manage your credentials securely. The
get_user_infotool allows you to retrieve cloud generation logs, keeping track of who generated what and when.
Real-World Use Cases
Localizing a global video campaign
A marketing team needs to release a video into five languages. Instead of hiring voice actors and managing five separate recording sessions, they ask their agent to use list_projects and text_to_speech. The agent initiates the translation queue, automating the dubbing and providing a single tracking ID for the entire process.
Building a Voice-Controlled App
A developer is building an app that needs dynamic narration. They use list_voices to pick a voice and then use text_to_speech to generate the audio metadata. The agent handles the complex parameterization, letting the developer focus on the code.
Debugging a TTS pipeline
A researcher needs to confirm if a specific voice model is suitable for emotional speech. They use get_voice to examine the voice's technical properties (like Stability) and cross-reference it with the list_models tool to ensure they're using the right source.
Auditing Content Output
The legal department requires a log of all public-facing audio content. They ask the agent to run list_history and get_history_item. This immediately pulls a structured, verifiable log of every generated audio file and its associated metadata.
The Tradeoffs
Trying to guess the voice name
Manually checking the ElevenLabs website for the voice name or trying to remember if the voice is 'John' or 'John_v2'. This wastes time and causes the agent to fail the API call.
→
Always start by using list_voices to pull a definitive list of all available voice IDs. Then, use get_voice if you need specific details about that voice profile.
Overloading a single prompt
Asking the agent, 'Give me the audio, and also tell me my quota, and also list the voices.' The agent gets confused and often fails or only executes the first tool.
→
Break it into steps. First, check limits with get_subscription. Then, request the audio using text_to_speech. Finally, ask for the voice list using list_voices.
Ignoring historical context
Generating new audio without first checking the list_history or get_history_item tools. You lose the ability to reference past jobs, which is critical for debugging and auditing.
→
When It Fits, When It Doesn't
Use this if you need to control the entire lifecycle of generated audio—from selecting a voice and checking quotas, to generating the content and finally archiving the results. It's mandatory for any production system where audio quality, compliance, or usage tracking matters. Don't use this if you only need a simple API wrapper for text-to-speech; the full suite of tools provides necessary control over voices, history, and billing. If you only need to check your quota, just call get_subscription; don't run the whole server just for that.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ElevenLabs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually managing audio assets is a nightmare of tabs and copy-pasting.
Today, generating audio content means jumping between the ElevenLabs console, your project management dashboard, and your billing page. You copy the text into the generator, wait for the audio, then you have to manually check the usage dashboard to see how many characters that job cost. It's a messy, multi-step process that takes forever.
With the ElevenLabs MCP Server, you tell your agent exactly what you want. It runs `text_to_speech` and handles the whole process—generating the audio, confirming the voice details, and even providing the quota usage update. You get the final asset and the full audit trail, all in one chat.
ElevenLabs MCP Server: Voice & Audio Control
The manual steps that disappear are checking the API key in a separate environment variable, remembering to hit the 'Save History' button, and figuring out which voice ID corresponds to the character you actually want. You spend time managing the workflow, not the content.
Now, your agent handles all the complexity. It uses `list_voices` to find the right voice, `get_voice` to verify its settings, and `list_projects` to manage the dubbing. It’s seamless. You just ask for the content.
Common Questions About ElevenLabs MCP
How do I check my remaining character quota using the ElevenLabs MCP Server? +
Call get_subscription. This tool immediately retrieves your current billing details, showing exactly how many characters you've used against your monthly limit.
What is the best way to generate audio with the ElevenLabs MCP Server? +
Use the text_to_speech tool. This is the primary function for converting text into audio metadata, supporting 29+ languages.
I need to dub a video. Which tool do I use with the ElevenLabs MCP Server? +
Use list_projects. This tool helps you manage the translation queue and initiate multi-language dubbing jobs for your video content.
How can I find out what voices are available with the ElevenLabs MCP Server? +
Run list_voices. This tool gives you a full, structured list of every voice profile available in the system.
How do I check the generation history using the ElevenLabs MCP Server's `list_history` tool? +
You call list_history() to view all previous audio generation jobs. This tool gives you a record of past runs, including metadata and download links, so you can audit your content creation.
What is the best way to handle multilingual content with the ElevenLabs MCP Server's `text_to_speech` tool? +
Use text_to_speech() by specifying the target language and required voice model. This tool supports 29+ languages, letting you automate multi-language content production for things like video dubbing.
Can I see which voice settings are available using the ElevenLabs MCP Server's `list_voices` tool? +
Yes, calling list_voices() pulls a global list of all available voices. This lets you identify specific standard voices or cloned voices before running a generation job.
How do I manage my API usage and billing limits using the ElevenLabs MCP Server's `get_subscription` tool? +
Run get_subscription() to validate your API logic and check your current character quota. This tool tracks usage against your limits, helping you monitor consumption and prevent overruns.
Can my agent generate speech using a specific voice ID? +
Yes. Use the 'text_to_speech' tool. Provide the 'voice_id' and the text script. The agent will fire the inference pipeline and return the generated audio content natively.
How do I monitor my character quota via chat? +
Use the 'get_subscription' tool. Your agent will validate the API logic querying your character usage (e.g., 100k limits) and subscription status to prevent system overruns.
Can I translate a video using the dubbing tool through the agent? +
Absolutely. Use the 'create_dubbing' tool. Provide a JSON payload with the 'source_url' and 'target_lang'. The agent will initiate the massive video translation queue and track the rendering job for you.
Multi-server workflows that include ElevenLabs MCP
Create AI Podcast Content Using MCP Servers
You record a 45-minute podcast, spend 4 hours editing the transcript, and still do not have show notes, a blog post, or social clips , because transcription tools give you text but not intelligence
Create Multimodal Brand Content Using MCP
A designer charges $150 per social post and delivers in 48 hours. Your AI agent generates brand-consistent images with perfect typography, adds voice narration for video reels, and manages the content calendar in Notion , 30 posts per week, zero design software
MCP Workflow for AI Video and Voice Creation
You have a product screenshot and need a video ad , Luma AI animates the image into cinematic video, ElevenLabs adds voice narration, and Sheets tracks your entire production queue
Produce AI Videos at Scale Using MCP Servers
Hiring a video editor costs $3,000 per month. Your AI agent generates product videos from text prompts, adds professional narration, and tracks the entire production queue in a spreadsheet , 50 videos per month without touching a timeline editor
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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