Can my agent generate speech using a specific voice ID?

Yes. Use the 'text_to_speech' tool. Provide the 'voice_id' and the text script. The agent will fire the inference pipeline and return the generated audio content natively.

How do I monitor my character quota via chat?

Use the 'get_subscription' tool. Your agent will validate the API logic querying your character usage (e.g., 100k limits) and subscription status to prevent system overruns.

Can I translate a video using the dubbing tool through the agent?

Absolutely. Use the 'create_dubbing' tool. Provide a JSON payload with the 'source_url' and 'target_lang'. The agent will initiate the massive video translation queue and track the rendering job for you.

ElevenLabs MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: ElevenLabs
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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": {
            "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())

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DLPData protection

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with ElevenLabs through native MCP adapters. Connect 10 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 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 LangChain 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 LangChain via MCP

Follow these steps to integrate the ElevenLabs MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from ElevenLabs via MCP

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

ElevenLabs MCP Tools for LangChain (10)

These 10 tools become available when you connect ElevenLabs to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting ElevenLabs to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ElevenLabs + LangChain FAQ

Common questions about integrating ElevenLabs MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.