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ElevenLabs MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Delete History Item, Delete Voice, Get Account Info, and more

Built by Vinkius GDPR 12 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 Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The ElevenLabs app connector for LlamaIndex 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

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 12 tools available."
        ),
    )

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

asyncio.run(main())
ElevenLabs
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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 neural audio synthesis and voice management workflows through natural conversation.

LlamaIndex agents combine ElevenLabs tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through 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 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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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_history_item

Delete audio record

delete_voice

Delete a cloned voice

get_account_info

Get user profile

get_download_link

Get audio download URL

get_history_item

Get history item details

get_subscription_info

Get usage and plan info

get_voice

Get voice details

get_voice_settings

Get voice fine-tuning

list_audio_history

List generated audio logs

list_models

List AI audio models

list_voices

List all available voices

text_to_speech

Convert text to audio

Connect ElevenLabs to LlamaIndex via MCP

Follow these steps to wire ElevenLabs into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from ElevenLabs

Why Use LlamaIndex with the ElevenLabs MCP Server

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

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

Example Prompts for ElevenLabs in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ElevenLabs immediately.

01

"Convert this text to speech using 'Bella' voice: 'Welcome to the world of neural audio'."

02

"List all my available voices in ElevenLabs."

03

"Check my remaining character limits for this month."

Troubleshooting ElevenLabs MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ElevenLabs + LlamaIndex FAQ

Common questions about integrating ElevenLabs MCP Server with LlamaIndex.

01

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.
02

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.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.