Retell AI MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Voice Agent, Get Agent Config, Get Call Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Retell AI 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 Retell AI app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Retell AI. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Retell AI?"
)
print(response)
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 Retell AI MCP Server
Connect your Retell AI account to any AI agent and take full control of your conversational voice orchestration through natural conversation. Retell AI provides a premier platform for building human-like voice agents, and this integration allows you to create agents, initiate phone or web calls, and monitor LLM configurations directly from your chat interface.
LlamaIndex agents combine Retell AI tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Agent & Persona Orchestration — List all managed voice agents and retrieve detailed persona metadata, including creating new agents programmatically.
- Call Lifecycle Management — Initiate and monitor real-time phone or web calls and retrieve detailed call metadata including recordings and transcripts directly from the AI interface.
- LLM & Brain Control — Access and monitor your Retell LLM configurations to ensure your agents always have the correct logic and knowledge via natural language.
- Phone Number Intelligence — List available phone numbers to maintain a clear overview of your telephony infrastructure.
- Operational Monitoring — Track system responses and manage agent settings using simple AI commands to ensure your voice operations are always optimized.
The Retell AI MCP Server exposes 11 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 11 Retell AI tools available for LlamaIndex
When LlamaIndex connects to Retell AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-ai, conversational-ai, telephony, 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.
Create a new AI voice agent
Get details for a voice agent
Get details and transcript for a call
Get metadata for a response engine
Get details for a specific phone number
List call logs and history
List internal response engines
List registered phone numbers
List all AI voice agents
Initiate an outbound phone call
Initialize a browser-based call
Connect Retell AI to LlamaIndex via MCP
Follow these steps to wire Retell AI into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Retell AI MCP Server
LlamaIndex provides unique advantages when paired with Retell AI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Retell AI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Retell AI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Retell AI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Retell AI tools were called, what data was returned, and how it influenced the final answer
Retell AI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Retell AI MCP Server delivers measurable value.
Hybrid search: combine Retell AI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Retell AI 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 Retell AI for fresh data
Analytical workflows: chain Retell AI queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Retell AI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Retell AI immediately.
"List all my voice agents in Retell AI."
"Show me all AI voice agents and their call statistics from the last 7 days."
"Create a new outbound phone call using the Sales Qualifier agent to contact a prospect."
Troubleshooting Retell AI MCP Server with LlamaIndex
Common issues when connecting Retell AI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRetell AI + LlamaIndex FAQ
Common questions about integrating Retell AI MCP Server with LlamaIndex.