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 LlamaIndex 10 tools — connect in under 2 minutes

Name: ElevenLabs
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ElevenLabs as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ElevenLabs. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ElevenLabs?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine ElevenLabs tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from ElevenLabs

Why Use LlamaIndex with the ElevenLabs MCP Server

LlamaIndex provides unique advantages when paired with ElevenLabs through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine ElevenLabs tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ElevenLabs tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ElevenLabs, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ElevenLabs tools were called, what data was returned, and how it influenced the final answer

ElevenLabs + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the ElevenLabs MCP Server delivers measurable value.

Hybrid search: combine ElevenLabs real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ElevenLabs to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ElevenLabs for fresh data

Analytical workflows: chain ElevenLabs queries with LlamaIndex's data connectors to build multi-source analytical reports

ElevenLabs MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ElevenLabs + LlamaIndex FAQ

Common questions about integrating ElevenLabs MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ElevenLabs tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.