ElevenLabs MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ElevenLabs as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="elevenlabs_agent",
tools=tools,
system_message=(
"You help users with ElevenLabs. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ElevenLabs tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the ElevenLabs MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from ElevenLabs automatically
Why Use AutoGen with the ElevenLabs MCP Server
AutoGen provides unique advantages when paired with ElevenLabs through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ElevenLabs tools to solve complex tasks
Role-based architecture lets you assign ElevenLabs tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive ElevenLabs tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ElevenLabs tool responses in an isolated environment
ElevenLabs + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ElevenLabs MCP Server delivers measurable value.
Collaborative analysis: one agent queries ElevenLabs while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ElevenLabs, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ElevenLabs data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ElevenLabs responses in a sandboxed execution environment
ElevenLabs MCP Tools for AutoGen (10)
These 10 tools become available when you connect ElevenLabs to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting ElevenLabs to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ElevenLabs + AutoGen FAQ
Common questions about integrating ElevenLabs MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect ElevenLabs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.