ElevenLabs MCP Server for LangChainGive LangChain instant access to 12 tools to Delete History Item, Delete Voice, Get Account Info, and more
LangChain is the leading Python framework for composable LLM applications. Connect ElevenLabs through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The ElevenLabs app connector for LangChain is a standout in the Ai Frontier category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"elevenlabs-alternative": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using ElevenLabs, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 neural audio synthesis and voice management workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with ElevenLabs through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Speech Orchestration — Convert text to high-fidelity audio programmatically using the world's most advanced lifelike AI voices
- Voice Intelligence — Access your complete voice library, including standard, community, and custom cloned voices to maintain high-fidelity branding
- History Tracking — Programmatically retrieve and manage your audio generation history, including direct download links for all past creations
- Model Selection — Explore and select from multiple neural audio models (including Multilingual v2) to ensure the perfect tone and stability for your content
- Administrative Visibility — Monitor your character usage, subscription limits, and account metadata directly through your agent for instant reporting
The ElevenLabs MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 ElevenLabs tools available for LangChain
When LangChain connects to ElevenLabs through Vinkius, your AI agent gets direct access to every tool listed below — spanning elevenlabs, text-to-speech, voice-cloning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Delete audio record
Delete a cloned voice
Get user profile
Get audio download URL
Get history item details
Get usage and plan info
Get voice details
Get voice fine-tuning
List generated audio logs
List AI audio models
List all available voices
Convert text to audio
Connect ElevenLabs to LangChain via MCP
Follow these steps to wire ElevenLabs into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the ElevenLabs MCP Server
LangChain provides unique advantages when paired with ElevenLabs through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ElevenLabs MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ElevenLabs queries for multi-turn workflows
ElevenLabs + LangChain Use Cases
Practical scenarios where LangChain combined with the ElevenLabs MCP Server delivers measurable value.
RAG with live data: combine ElevenLabs tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ElevenLabs, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ElevenLabs tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ElevenLabs tool call, measure latency, and optimize your agent's performance
Example Prompts for ElevenLabs in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ElevenLabs immediately.
"Convert this text to speech using 'Bella' voice: 'Welcome to the world of neural audio'."
"List all my available voices in ElevenLabs."
"Check my remaining character limits for this month."
Troubleshooting ElevenLabs MCP Server with LangChain
Common issues when connecting ElevenLabs to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersElevenLabs + LangChain FAQ
Common questions about integrating ElevenLabs MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.