ElevenLabs MCP. Generate hyper-realistic speech from any text input.
ElevenLabs MCP connects advanced neural audio synthesis and voice cloning directly into your AI workflow. Convert any text into hyper-realistic speech using dozens of cloned or standard voices, manage your entire audio library, and track usage—all without leaving your agent environment.
Give Claude and any AI agent real-world access
Send plain text and select a voice or model, and the MCP converts it into high-quality audio.
Retrieve details about all available voices to know which one to use for a project.
Query your subscription status to see remaining characters or credit balance.
List past audio generations and retrieve the download link for a specific recording.
Get detailed information about existing voices to ensure they match your branding guidelines.
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What AI agents can do with ElevenLabs With 12 Tools
Use these tools to scale every part of your audio pipeline, from listing available models to generating final download links for completed speech.
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 MCPDelete Voice
Deletes an uploaded or cloned voice profile to keep your library clean.
Get Download Link
Generates a direct, usable URL for any completed audio recording.
Get Account Info
Pulls general user profile details associated with your ElevenLabs account.
Get History Item
Retrieves all details about a specific past audio generation job.
Get Subscription Info
Checks your current credit usage and displays your plan's limits for the month.
Get Voice Settings
Retrieves advanced parameters related to how a specific voice was fine-tuned.
Get Voice
Gets detailed metadata for any specified voice profile, including ID and type.
List Audio History
Returns a list of all past text-to-speech jobs you've run.
List Models
Lists all available neural audio models (like Multilingual v2) for selection.
List Voices
Retrieves a full inventory of every voice you have access to, standard or custom...
Text To Speech
Converts provided text into high-fidelity audio using the selected model and voice.
Delete History Item
Removes a specific record from your audio generation history.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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 each 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 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Manual audio work is a nightmare of switching tabs.
Today, making an audio file means jumping between your video editor, logging into the ElevenLabs web dashboard, copying text blocks, selecting a voice from dropdowns, hitting 'synthesize,' and then waiting for the download link to appear. If you change voices or need to check usage mid-process, it's another click, another tab, and more copy-pasting.
With this MCP, your agent handles all of that behind the scenes. You just tell your client what text needs conversion and which voice ID to use. Your AI acts as a dedicated producer, running the necessary tools—like `text_to_speech` and `list_voices`—and giving you the final audio link without you ever leaving your workspace.
Get granular control over every asset with ElevenLabs MCP.
Manual systems make it impossible to audit everything. You can't easily check how many characters were used across five different projects, nor can you programmatically delete a single test voice when the project ends. Everything is siloed in web portals or complicated dashboards.
Now, your agent gives you full visibility. By combining `get_subscription_info` with `list_audio_history`, you get an immediate, auditable record of everything that happened and exactly how much budget was consumed. It's total control over your creative output.
What ElevenLabs MCP does for your AI
This connector gives you complete control over high-fidelity audio creation from within your AI client. You stop relying on web interfaces and manual copy-pasting for voiceovers. Instead, your agent uses the ElevenLabs tools to orchestrate speech generation: convert text using selected models or clone custom voices against a specific script.
Need to check how many characters you've used this month? Your agent can retrieve that data instantly. You also get visibility into all past creations through history tracking and even download direct links for your finished audio files. Because Vinkius hosts the entire catalog, you keep everything—from monitoring account usage to deleting old recordings—in one spot with any MCP-compatible client.
019dd0e8-8f9a-7192-8383-8a1eeb2ccbe0 How to set up ElevenLabs MCP
The bottom line is that your AI client acts as the dedicated interface, handling all API calls and data retrieval so you don't have to touch the web portal.
First, your agent calls the MCP to list all available audio models or current voices.
Next, you provide the specific text and select a voice ID (or model) for conversion.
The MCP executes the synthesis and returns metadata, which includes the unique download link for the generated audio.
Who uses ElevenLabs MCP
This MCP helps content creators and marketing teams who are tired of switching between their editing software, a separate account dashboard, and the cloud editor just to make an audio file. It's for anyone whose job requires massive amounts of high-quality voiceover work.
Needs to quickly generate multiple versions of video scripts using different cloned voices and track which ones worked best.
Automates the creation of personalized audio messages for campaigns, while simultaneously tracking character usage against a monthly budget.
Integrates text-to-speech and voice cloning into an application's backend without writing complex external API wrapper code.
Benefits of connecting ElevenLabs MCP
You eliminate web portal friction. Instead of copy-pasting into a browser editor, your agent runs the text_to_speech tool directly, treating audio generation like any other function call.
Voice management becomes programmatic. Use list_voices and get_voice to programmatically check which voices are available before making an API call, ensuring you use the right tone for the job.
Tracking usage is instant. The ability to run get_subscription_info means your automation can halt or warn you when you hit credit limits, preventing unexpected failures mid-campaign.
History management is streamlined. You don't have to manually search; running list_audio_history gives you a clean log of all past jobs, and get_download_link pulls the file instantly.
Complex workflows are simplified. Your agent can select the perfect model by calling list_models, ensuring your content uses stable and appropriate neural audio synthesis for multilingual needs.
ElevenLabs MCP use cases
Updating a podcast series with new hosts
The producer asks their agent to generate the intro script using the 'Narrator' cloned voice, then asks the agent to list all other available voices so they can select the next host for the following week's episode. This sequence of actions handles both content generation and asset discovery.
Building a dynamic onboarding guide
A developer connects their agent and prompts it to read all system documentation (text) into audio format, using a specific corporate voice profile. The agent then uses get_voice to confirm the correct Voice ID is used before running the final text_to_speech command.
Auditing marketing spending
The campaign manager asks their agent, 'How much credit did we spend this month?' The agent runs get_subscription_info, giving an immediate answer on remaining characters. Then they use list_audio_history to see exactly which campaigns consumed the most credits.
Cleaning up old voice assets
A user realizes a test clone is no longer needed. They ask their agent to list all cloned voices using list_voices, identify the unused ID, and then use delete_voice to remove it entirely from the system.
ElevenLabs MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Treating it like a simple API wrapper
Just calling 'generate audio' without telling your agent which voice, model, or history details you need. This leads to vague errors and requires manual follow-up.
Always structure the request by first using list_voices or list_models to gather necessary IDs, then feeding those specific parameters into the text_to_speech tool for reliable execution.
Ignoring usage limits
Running a large batch of audio generation jobs and getting a cryptic 'quota exceeded' error mid-process because no one checked the balance.
Start every major workflow by calling get_subscription_info. This gives you real-time data on your remaining characters so you can adjust the scope before running text_to_speech.
Not managing assets
Leaving dozens of unused or old cloned voices in the account, making it hard to find the right one when a new project starts.
After confirming you don't need an old asset, use list_voices to confirm its ID, and then run delete_voice. It keeps your library clean and functional.
When to use ElevenLabs MCP
Use this MCP if the core of your workflow requires repeatable, programmatic audio generation from text. You need the ability for your agent to not just generate sound, but also to manage the entire lifecycle: check quotas (get_subscription_info), select assets (list_voices, list_models), track usage (list_audio_history), and retrieve final files (get_download_link). Don't use this if you only need simple text-to-speech generation once a month. For that, a basic cloud service might suffice. However, if your process involves advanced voice cloning or multilingual support, this MCP is necessary because it exposes the deep control needed to manage those specific assets and parameters.
Frequently asked questions about ElevenLabs MCP
How do I check my credit balance using the ElevenLabs MCP? +
Run get_subscription_info. This tool immediately pulls your current usage and remaining character count for the month, so you never run out of budget unexpectedly.
Can the ElevenLabs MCP clone a voice from my own recordings? +
Yes. The MCP allows you to manage cloned voices through tools like list_voices and get_voice, enabling you to maintain high-fidelity branding across all content.
What if I want to delete an old audio recording from my history? +
You can use the delete_history_item tool. This allows you to programmatically clean up specific records, keeping your workflow organized and focused on current work.
Which text-to-speech tool should I use in the ElevenLabs MCP? +
Always use text_to_speech. This is the primary function that takes input text and synthesizes the final audio output using your chosen voice and model.
Does the ElevenLabs MCP support multilingual content? +
Yes. By listing models, you can select advanced options like Multilingual v2, ensuring accurate speech synthesis across dozens of languages.
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.