ElevenLabs MCP for AI. Generate Voiceovers & Clone Voices On Demand
Works with every AI agent you already use
…and any MCP-compatible client








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ElevenLabs MCP generates lifelike speech from text using advanced neural voice synthesis. It lets you clone voices, access a library of standard and custom tones, and manage your entire audio history programmatically through any AI client.
What your AI can do
Delete history item
Removes a specific recorded audio file from the generation history.
Delete voice
Permanently deletes a custom-cloned voice profile you created.
Get download link
Provides a direct, temporary URL to download any specific audio file.
Convert any block of text into an audio file using multiple neural models and voices.
Access, list, and even delete custom-cloned or standard voice profiles to maintain brand consistency.
Retrieve detailed records of all past audio generations and monitor your remaining character count and subscription limits.
Fetch direct URLs for any previously generated audio file, bypassing manual download steps.
Read or update specific parameters related to voice fine-tuning and model selection.
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ElevenLabs with 12 Tools
Use these twelve specific tools to handle every aspect of voice generation—from converting text to managing account details.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using ElevenLabs on VinkiusDelete History Item
Removes a specific recorded audio file from the generation history.
Delete Voice
Permanently deletes a custom-cloned voice profile you created.
Get Download Link
Provides a direct, temporary URL to download any specific audio file.
Get History Item
Fetches the detailed metadata for one specific entry in your generation history log.
Get Subscription Info
Checks your current usage metrics, remaining credits, and billing plan details.
Get Account Info
Retrieves general details about your user account and subscription status.
Get Voice Settings
Reads or updates fine-tuning parameters used for customizing how a voice sounds.
Get Voice
Retrieves detailed information about a specific voice profile's characteristics.
List Audio History
Lists all recorded audio generation events, providing an overview of what has been...
List Models
Shows the currently available neural audio models for selection (e.g., Multilingual...
List Voices
Provides a comprehensive list of all voices, both standard and custom-cloned.
Text To Speech
Converts specified text content into an audio file using the chosen voice and model.
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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 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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
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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 connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Managing a brand's audio output feels like juggling spreadsheets and download folders.
Today, if you need to generate an announcement or a tutorial voiceover, the process is slow. You copy the text out of your document, paste it into the web editor, select the right model, hit generate, wait for the file to process, and then manually download the MP3. Then, you have to upload that file somewhere else.
With this MCP connection, your agent handles everything automatically. You just provide the text and tell it which voice to use. It generates the audio internally and gives your workflow a usable output link. The entire manual process shrinks down to one single command.
Accessing Your Voice Library with ElevenLabs MCP
Previously, checking what voices you had available meant logging into the website and navigating multiple tabs. If you needed a specific voice ID for an external tool, it was a painful process of copy-pasting names or IDs from different screens.
Now, your agent uses `list_voices` to give you a clean list right in chat. You can then use `get_voice` to confirm the exact parameters and be 100% sure which voice ID you're working with.
What your AI can actually do with this
This connector gives your agent control over professional-grade audio production. You can send raw text and get back high-fidelity audio files, whether you're creating video voiceovers or building an automated notification system. It handles the complex parts: selecting the right model, ensuring consistent branding by accessing cloned voices, and keeping a detailed record of every file generated.
When you connect this through Vinkius, your agent becomes a dedicated studio producer for all things audio.
019dd0e8-8f9a-7192-8383-8a1eeb2ccbe0 Here's how it actually works
The bottom line is: you tell your AI client what voice and text to use, and it handles the complex backend API calls needed for generation.
First, you subscribe to this MCP connection and retrieve your API Key from your ElevenLabs account.
Next, instruct your AI agent to perform a task, like converting text or listing available voices. The MCP uses the key to communicate with the service.
Finally, your agent returns structured data, which could be an audio file link, voice metadata, or usage stats.
Who is this actually for?
This is for developers and content teams whose jobs rely on high-volume audio output. It's for the marketing manager who hates manually downloading MP3 files, or the developer building an application that needs a consistent brand voice.
Generates multiple versions of video scripts into speech right in their development environment without leaving the IDE.
Creates consistent voiceovers for documentation or tutorials, managing tone and accent details via specific voice settings.
Integrates text-to-speech into a product feature that reads out user onboarding steps or error messages dynamically.
What Changes When You Connect
Instantly create voiceovers: Instead of manually copy-pasting text into a web editor, your agent sends the content directly to the text_to_speech tool and gets an audio file back.
Maintain brand consistency: Use list_voices and get_voice to manage your complete library. You can clone voices so every piece of generated audio sounds like your company's spokesperson, every time.
Never worry about credits again: Use get_subscription_info to check remaining character limits or get_account_info for an overall view of your usage without leaving your workspace.
Full audit trail: You can use list_audio_history and then get_history_item to review exactly what was generated, when it happened, and who triggered it.
Clean up assets easily: If a voice or an old recording is no longer needed, you can use delete_voice or delete_history_item to clear out clutter.
See it in action
Updating product tutorials for new clients
A technical writer needs to update a complex guide. They send the raw text and ask their agent to use the 'CEO Voice' profile, triggering text_to_speech. The resulting audio is then passed directly into the documentation build pipeline.
Building an automated IVR system
A developer needs a voice for customer service. They first call list_voices to check available tones, then use get_voice_settings to fine-tune the tone, before passing the script through text_to_speech.
Auditing audio assets post-campaign
A marketing team needs to know how many credits they spent last month. They call list_audio_history, which shows all past generations, followed by a check with get_subscription_info for the final balance.
The honest tradeoffs
Using external APIs directly
Copying text from your agent's output and pasting it into the ElevenLabs website, then manually downloading a file to use somewhere else.
Let your MCP handle it. Just send the text and specify the voice ID to text_to_speech. The resulting audio is immediately available for your workflow.
Forgetting about cloned voices
Generating several pieces of content using default or standard AI voices, which makes the brand sound generic and disconnected.
Always use list_voices to confirm you have access to your custom profiles, then specify that voice when calling text_to_speech. This locks in your unique brand sound.
Overwriting history by accident
Running a cleanup script without first checking if the records are still needed for compliance or auditing purposes.
Before running delete_history_item or delete_voice, always run list_audio_history to see exactly what you're deleting. Double-check, then delete.
When It Fits, When It Doesn't
Use this MCP if your primary need is high-volume, consistent audio generation and deep voice control. If your goal is only simple text summarizing or general messaging, a standard LLM connection might suffice. But if you require specific voices, tracking of usage with get_subscription_info, or the ability to clone professional tones for branding consistency, this MCP is essential. Don't use it just because you need TTS; verify that your workflow requires managing voice assets and history using tools like list_audio_history before committing.
Questions you might have
How do I make sure my brand sounds consistent using ElevenLabs MCP? +
Use list_voices to see all available profiles. If you have a custom tone, ensure you specify that voice ID when calling text_to_speech. This guarantees the correct branding every time.
Can I check my credit usage with ElevenLabs MCP? +
Yes. You call get_subscription_info to get an immediate readout of your remaining character count and billing cycle details, all within your agent's response.
What is the difference between list_audio_history and get_download_link? +
list_audio_history gives you a summary log (a list of what was done). get_download_link, however, provides the actual URL needed to grab the finished audio file.
How do I delete an old voice using ElevenLabs MCP? +
You must first confirm which profile you want to remove. Then, use delete_voice and specify the exact ID of the voice you are deleting.
When I use `list_models`, how do I choose the best audio quality for my content? +
The agent presents a list of all available neural models, allowing you to select based on specific needs. For instance, if your content is multilingual, selecting a dedicated model guarantees better stability and tone across different languages.
What happens with `text_to_speech` if I input text that exceeds my character limit? +
The tool won't fail silently. Instead, your AI client reports an explicit rate limit error message. This response details exactly how many more characters you can use and when your usage resets.
I need to remove a specific audio generation record; what does `delete_history_item` do? +
This tool permanently deletes one specified entry from your audit log. It's useful for maintaining privacy or cleaning up records for content you no longer need visible in your history.
How can I access voice fine-tuning options using `get_voice_settings`? +
You use this tool to adjust the specific parameters of a cloned voice. This lets you refine attributes like pitch, emphasis, or speaking style before running a new text conversion.
How do I find my ElevenLabs API Key? +
Log in to your account, click your profile icon (bottom left), and navigate to the API Key section to generate or copy your token.
Which model should I use for multiple languages? +
The eleven_multilingual_v2 model is recommended for high-quality speech generation in over 29 different languages.
Can I get a direct download link for a past generation? +
Yes! Use the get_download_link tool with a history item ID to retrieve a temporary URL for the audio file.
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