ElevenLabs MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ElevenLabs through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ElevenLabs Assistant",
instructions=(
"You help users interact with ElevenLabs. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ElevenLabs"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ElevenLabs MCP Server
Connect your ElevenLabs account to any AI agent and take full control of your AI audio generation and lifelike speech synthesis through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from ElevenLabs through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries ElevenLabs, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Speech Synthesis Orchestration — Extract explicit REST maps utilizing text-to-speech endpoints to fire heavy inference pipelines streaming perfect conversational intonation blocks
- Voice Library Navigation — Identify bounded records inside the ElevenLabs platform and pull globally curated standard and cloned voice libraries natively
- Voice Tuning — Perform structural extraction of properties driving human likeness, dissecting precisely Stability and Similarity bounds for active account logic
- Audio Dubbing — Initiate massive video and audio translation queues injecting cross-lingual voice models to automate multi-language content production
- Generation Auditing — Enumerate explicitly attached structured rules exporting active history and mapping literal historic generations across time limits
- Quota Oversight — Validate API logic querying strict character quotas and subscription limits to monitor character consumption and block system overruns
- Vault Security — Identify precise active arrays spanning native gateway auth to retrieve explicit cloud generation logs and manage generated blobs securely
The ElevenLabs MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ElevenLabs to OpenAI Agents SDK via MCP
Follow these steps to integrate the ElevenLabs MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ElevenLabs
Why Use OpenAI Agents SDK with the ElevenLabs MCP Server
OpenAI Agents SDK provides unique advantages when paired with ElevenLabs through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ElevenLabs + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ElevenLabs MCP Server delivers measurable value.
Automated workflows: build agents that query ElevenLabs, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries ElevenLabs, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ElevenLabs tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ElevenLabs to resolve tickets, look up records, and update statuses without human intervention
ElevenLabs MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ElevenLabs to OpenAI Agents SDK via MCP:
get_history_item
Get history item details
get_subscription
Get subscription details
get_user_info
Get user profile info
get_voice
Get voice details
list_history
List generation history
list_models
List AI speech models
list_projects
List dubbing/voice projects
list_pronunciation_dictionaries
List pronunciation dictionaries
list_voices
List all available voices
text_to_speech
Returns audio metadata. Supports 29+ languages. Convert text to speech audio
Example Prompts for ElevenLabs in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ElevenLabs immediately.
"Generate audio for: 'Hello, this is a lifelike AI voice.' using voice 'abc-123'"
"Show me my remaining character quota"
"Dub this video into Spanish: https://example.com/video.mp4"
Troubleshooting ElevenLabs MCP Server with OpenAI Agents SDK
Common issues when connecting ElevenLabs to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ElevenLabs + OpenAI Agents SDK FAQ
Common questions about integrating ElevenLabs MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ElevenLabs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ElevenLabs to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
