ElevenLabs MCP. Generate perfect, multilingual AI speech on demand.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
ElevenLabs gives your AI agent complete control over high-quality speech and audio dubbing. You can generate lifelike voiceovers, clone voices, or translate video into multiple languages without ever leaving your chat interface.
It's the full suite for professional audio content creation.
What your AI agents can do
Get history item
Retrieves the specific details for a single historical audio generation job.
Get subscription
Checks your current billing cycle information and remaining character usage quota.
Get user info
Fetches basic profile details for the connected ElevenLabs account.
Converts raw text into high-fidelity audio files, supporting dozens of languages and voices.
List, identify, and tune voice settings to maximize human likeness for a specific project.
Takes existing video or audio content and translates/doubles the voices into different languages automatically.
Checks your account's character quotas and subscription status to prevent overspending.
Retrieves a full, structured log of all past generations for easy review and troubleshooting.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
ElevenLabs: 10 Available Tools
These tools give your agent granular control over the entire speech pipeline, from listing available models to generating specific audio assets.
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 Vinkius019d758fget history item
Retrieves the specific details for a single historical audio generation job.
019d758fget subscription
Checks your current billing cycle information and remaining character usage quota.
019d758fget user info
Fetches basic profile details for the connected ElevenLabs account.
019d758fget voice
Gets detailed information about a specific voice model available on the platform.
019d758flist history
Shows an overview of all previous audio generation jobs and their status.
019d758flist models
Retrieves a list of available AI speech models you can use for generation.
019d758flist projects
Lists your current or past audio dubbing and voice projects.
019d758flist pronunciation dictionaries
Shows available phonetic dictionaries to ensure specific words are pronounced correctly in the generated speech.
019d758flist voices
Provides a comprehensive list of all voices, both standard and cloned, accessible to your account.
019d758ftext to speech
Converts any block of text into high-quality audio metadata using supported voice settings.
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 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ 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
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 INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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.
Juggling Voice Assets Across Multiple Platforms is Painful
Right now, creating consistent audio assets means jumping between your CMS platform, your video editor, and a separate voice synthesis service. You copy the script here, paste it there, run the job, download the file, then manually upload that finished asset to your campaign dashboard. It's slow, and you're always worried about versioning or missing one crucial step.
With this MCP, you keep all of that logic within your agent conversation. You just tell it: 'I need a five-minute explainer video dubbed into French.' The system handles the entire sequence—the translation, the voice selection, and the generation—and hands you back the finished result.
Get Full Visibility Into Your Audio Content Lifecycle
The hardest part is tracking what's already done. Did that last dubbing job complete? How many characters did we use on the sample audio yesterday? You currently have to open separate dashboards and manually cross-reference dates and project IDs just to account for usage.
Now, simply asking your agent to run `list_history` gives you a single, clean view of everything that has ever been generated. It’s immediate oversight into every job status and content piece.
What you can do with this MCP connector
This MCP lets you manage every part of high-fidelity AI audio generation through natural conversation. Instead of jumping between dedicated audio platforms and your agent workspace, you keep everything in one place. You can initiate complex dubbing jobs, synthesize speech using perfect conversational intonation, or just check which voices are available globally.
Developers love that they don't have to manually track API keys; Vinkius handles all credentials through a zero-trust proxy, so your keys never sit on a disk. This means you can focus purely on the creative output—whether it’s generating an entire library of voice samples or monitoring how much character quota you have left for the month.
019d758f-1705-716f-a10e-f8bef6cb300c 
How ElevenLabs MCP Works
- 1 Subscribe to this MCP and enter your ElevenLabs API Key.
- 2 Ask your AI agent to perform an action, like synthesizing speech or checking your remaining character quota.
- 3 The service executes the task and returns either the generated audio metadata or the requested usage information.
The bottom line is: you tell your agent what kind of voice or audio job you need, and it handles the rest via the ElevenLabs API.
Who Is ElevenLabs MCP For?
Content marketers who struggle with multi-language content; video producers needing reliable dubbing pipelines; developers building scalable media tools. If your job involves turning text into broadcast-quality audio, this is for you.
Runs full production cycles by triggering massive video translation queues and monitoring the status of complex dubbing projects.
Creates consistent, branded voiceovers for manuals or tutorials without manually recording every script segment.
Needs to test various voice settings and model capabilities programmatically, verifying audio output quality through natural conversation prompts.
What Changes When You Connect
- You never have to worry about running out of capacity. Use
get_subscriptionto check your remaining character quota and keep your content pipeline moving. - Need to ensure a specific name or technical term sounds right? Before generating audio, use
list_pronunciation_dictionariesto define how the word should be spoken. - Don't just generate audio; track it. Use
list_historyto view an overview of past projects, and then useget_history_itemfor deep dives into specific job details. - The system handles complex credential management using a zero-trust proxy, so connecting your API keys is secure and simple, letting you focus on the content, not the security protocols.
- Want to build an automated global campaign? You can use
list_projectsto manage all your dubbing jobs before triggering new ones via the core audio generation tools.
Real-World Use Cases
Launching a Global Campaign
The marketing team needs to launch an ad campaign in five languages. Instead of hiring voice actors for every region, they ask their agent to use list_projects first, then initiate the translation queue via audio dubbing tools, ensuring consistent branding across all language versions.
Debugging Audio Failures
A developer notices an audio file sounds choppy. They run a check using get_history_item to pull up the exact generation parameters and then use list_models to verify if they used the correct speech model.
Updating Voice Assets
A content creator needs to add a new voice for their character. They first run list_voices to see available options, then use get_voice to check specific tuning parameters like stability before generating the final sample via text-to-speech.
Monitoring API Costs
The product owner needs assurance that the AI agent isn't running wild. They prompt the system to run get_subscription to confirm current usage and available character quotas before initiating a large batch of audio generation.
The Tradeoffs
Trying to list everything manually
A user tries to find out how many voices are available by searching the platform's general settings and clicking through multiple tabs.
→
Just ask your agent to run list_voices. It pulls all current standard and cloned voice libraries into one place, saving you clicks.
Assuming a tool can do everything
A developer calls the audio generation tool but forgets to specify the correct language or model ID.
→
Check list_models first. This ensures your agent is pointing to a recognized and supported speech model before attempting the final text-to-speech conversion.
Ignoring job status
A video producer starts a dubbing queue but doesn't know if it finished, wasting time waiting for an unknown result.
→
Always use list_projects to get the master list of jobs. This gives you the current status and tracking ID for everything running.
When It Fits, When It Doesn't
Use this MCP if your core need revolves around generating, managing, or replicating audio using text input. You should call this connector when you need high-quality speech synthesis, voice cloning, or cross-lingual dubbing capabilities.
Don't use it if your goal is merely to manage raw video files (use a dedicated media processing service) or if the primary output needs to be code structure (stick to a specialized coding MCP). If all you need is basic text input/output without any audio element, this is overkill. The power comes when you combine multiple services; for example, running an automated workflow that first pulls user data using another MCP, then uses ElevenLabs to generate personalized messages, and finally sends those messages via a messaging MCP—that's where the real automation lives.
Common Questions About ElevenLabs MCP
How do I check my audio generation budget using get_subscription? +
It immediately returns your current billing details, showing how many characters you've used this month versus your total limit. This stops overspending before it happens.
Does list_voices show me my own cloned voice? +
Yes, list_voices shows every available voice model on the platform. It pulls both standard library voices and any custom or cloned voices specific to your account.
What if I need a word pronounced differently? Do I use list_pronunciation_dictionaries? +
Yes, that's exactly what the list_pronunciation_dictionaries tool is for. It lets you define phonetic rules so your text-to-speech output says specialized or foreign words correctly.
Can I list all my past video projects using list_projects? +
The list_projects tool aggregates all your dubbing and voice initiatives. It’s the single source of truth for tracking large-scale content translation efforts.
When I use `list_history`, what details do I get about my past generation attempts? +
It provides a comprehensive log of every attempt, not just completed projects. You'll see the timestamp, the input text used, and whether the run succeeded or failed, which is essential for debugging.
Does running `get_user_info` confirm that my API credentials are correctly authenticated? +
Yes, calling get_user_info validates your connection to ElevenLabs. It returns key account metadata and confirms the status of your user ID, helping you isolate if a problem is with the client setup or the service itself.
After I run `text_to_speech`, how do I actually download the resulting audio file? +
The tool returns an audio metadata object containing a unique job ID and status. You must use this job ID to check the progress or initiate the final retrieval of the completed audio asset.
When using `list_models`, what information helps me choose the right AI speech model? +
The list provides details about each available model, including its primary purpose and any specific constraints. This lets you compare specialized voices against general-purpose ones before running a large generation batch.
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.