How to Use the ElevenLabs MCP in LlamaIndex

Q: How do I index ElevenLabs history in LlamaIndex?

Call the listhistory tool and pass the output into your LlamaIndex document reader. It turns your generation logs into nodes ready for vectorization.

Q: Can LlamaIndex query my ElevenLabs subscription data?

Yes. Use the getsubscription tool to fetch your current quota. You can then index this as a variable for your agent to reference during planning.

Q: Will LlamaIndex search ElevenLabs pronunciation dictionaries?

Absolutely. You can use listpronunciationdictionaries to pull your custom lexicons into the index, helping your agent understand specific domain jargon.

Q: How do I filter ElevenLabs tools in LlamaIndex?

Use the allowedtools parameter when initializing the McpToolSpec. You can restrict the agent to only use specific tools like texttospeech for security.

Index your audio history and voice metadata in LlamaIndex to build searchable, knowledge-grounded voice applications.

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Connect ElevenLabs MCP to LlamaIndex

Create your Vinkius account to connect ElevenLabs to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ElevenLabs with LlamaIndex

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Index ElevenLabs data in LlamaIndex

Use `list_history` and `list_projects` to pull your generation logs into a vector store. You can query your past audio outputs to find specific voice configurations that worked best. This turns your API history into a searchable knowledge base. Your LlamaIndex agents can now ground their decisions in actual past generation performance.

Ground LlamaIndex agents in ElevenLabs data

Call `get_subscription` and `get_user_info` to let your agent understand its own resource constraints before generating audio. It prevents your system from attempting tasks that exceed your current plan limits. It makes your agent self-aware of its budget. The agent checks its status via the tool before it ever triggers a synthesis request.

Automate voice selection in LlamaIndex

Retrieve exact voice profiles using `get_voice` and combine them with your existing vector data. You can map specific voice IDs to document types for consistent branding across your RAG output. It keeps your agent output consistent. By indexing the voice metadata, you ensure the agent always picks the right tone for the document it is reading.

Setup guide

Set up ElevenLabs MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all ElevenLabs MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to ElevenLabs tools.",
)
response = await agent.run("List recent ElevenLabs data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ElevenLabs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ElevenLabs MCP in LlamaIndex

Call the `list_history` tool and pass the output into your LlamaIndex document reader. It turns your generation logs into nodes ready for vectorization.

Yes. Use the `get_subscription` tool to fetch your current quota. You can then index this as a variable for your agent to reference during planning.

Absolutely. You can use `list_pronunciation_dictionaries` to pull your custom lexicons into the index, helping your agent understand specific domain jargon.

Use the allowed_tools parameter when initializing the McpToolSpec. You can restrict the agent to only use specific tools like `text_to_speech` for security.

Your credentials and account details stay within the secure MCP sandbox. LlamaIndex only receives the data returned by the tools, which is processed in memory.

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