How to Use the ElevenLabs MCP in OpenAI Agents SDK

Q: How do I configure ElevenLabs voice generation in OpenAI Agents SDK?

Install the SDK and instantiate MCPServerStreamableHttp using your Vinkius endpoint. Pass the server instance directly to the Agent constructor, enabling automatic discovery of tools like texttospeech.

Q: Can my OpenAI Agents SDK agent clone voices with ElevenLabs?

Yes, the agent uses getvoice to fetch existing cloned voice profiles and manage them. You can delete outdated clones by letting the agent call deletevoice when a user profile is removed.

Q: How does OpenAI Agents SDK handle ElevenLabs API billing?

The agent calls getsubscriptioninfo and getaccountinfo to monitor your character usage limits. This prevents your production pipeline from failing due to unexpected quota exhaustion.

Q: Is there a way to cache the ElevenLabs tool list in OpenAI Agents SDK?

Set cacheToolsList=True in your server configuration params to avoid querying the server on every agent turn. This reduces latency and keeps your voice synthesis agent responsive.

Q: How does the ElevenLabs MCP Server handle audio data privacy?

Audio history logs and generated MP3 files are managed via deletehistoryitem to enforce immediate deletion. Vinkius runs the MCP server in an ephemeral sandbox, ensuring your voice data is never stored on external infrastructure.

Build production-grade OpenAI Agents SDK systems that generate lifelike voices using the ElevenLabs MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ElevenLabs MCP to OpenAI Agents SDK

Create your Vinkius account to connect ElevenLabs to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ElevenLabs with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Dynamic voice selection for OpenAI Agents SDK

The `list_voices` tool allows your OpenAI agent to query available neural profiles to match the speaker's tone with the current user context. The agent checks `get_voice_settings` to verify fine-tuning parameters before initiating any audio generation pipeline. That's how you guarantee your production agent makes informed decisions about voice characteristics before triggering speech. By caching the tool list in the SDK, the agent avoids redundant network requests and speeds up response times during live interactions.

Production-safe ElevenLabs MCP Server speech synthesis

The `text_to_speech` tool executes voice synthesis directly inside the OpenAI Agents SDK runtime with built-in safety guardrails. When your specialized agent triggers a handoff, it passes the text payload to the audio generation agent to output high-fidelity neural audio. You track every single generation call on your OpenAI developer dashboard to monitor latency and character usage. If the agent detects a billing limit issue through `get_subscription_info`, it halts execution before running out of API credits.

Audio history cleanup and management

The `delete_history_item` tool on this MCP server purges generated audio records from the cloud to maintain compliance with your strict data retention policies. Your agent calls `list_audio_history` to find matching logs and removes them immediately after the download URL is retrieved via `get_download_link`. Using this automated cleanup loop ensures your system never stores customer voice recordings longer than necessary. The agent handles these operations asynchronously behind the scenes while maintaining a zero-trust architecture.

Setup guide

Set up ElevenLabs MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ElevenLabs tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ElevenLabs tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ElevenLabs tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ElevenLabs Agent",
            instructions="You have access to ElevenLabs tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ElevenLabs now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ElevenLabs MCP in OpenAI Agents SDK

Install the SDK and instantiate `MCPServerStreamableHttp` using your Vinkius endpoint. Pass the server instance directly to the Agent constructor, enabling automatic discovery of tools like `text_to_speech`.

Yes, the agent uses `get_voice` to fetch existing cloned voice profiles and manage them. You can delete outdated clones by letting the agent call `delete_voice` when a user profile is removed.

The agent calls `get_subscription_info` and `get_account_info` to monitor your character usage limits. This prevents your production pipeline from failing due to unexpected quota exhaustion.

Set `cacheToolsList=True` in your server configuration params to avoid querying the server on every agent turn. This reduces latency and keeps your voice synthesis agent responsive.

Audio history logs and generated MP3 files are managed via `delete_history_item` to enforce immediate deletion. Vinkius runs the MCP server in an ephemeral sandbox, ensuring your voice data is never stored on external infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript