How to integrate Persona MCP with LlamaIndex

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Introduction

This guide walks you through connecting Persona to LlamaIndex using the Composio tool router. By the end, you'll have a working Persona agent that can get all pending verification cases, trigger a new kyc verification for user, list users who failed identity checks through natural language commands.

This guide will help you understand how to give your LlamaIndex agent real control over a Persona account through Composio's Persona MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Persona
  • Connect LlamaIndex to the Persona MCP server
  • Build a Persona-powered agent using LlamaIndex
  • Interact with Persona through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built for async/await patterns

What is the Persona MCP server, and what's possible with it?

The Persona MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Persona account. It provides structured and secure access so your agent can perform Persona operations on your behalf.

Supported Tools & Triggers

Tools
Add Tag to AccountTool to add a tag to an Account in Persona.
Archive Browser Fingerprint List ItemTool to archive a browser fingerprint list item in Persona.
Archive Country List ItemTool to archive a Country List Item by ID.
Archive a Geolocation List ItemTool to archive a geolocation list item from Persona.
Archive Government ID Number List ItemTool to archive a Government ID Number List Item.
Archive a Name List ItemTool to archive a name list item in Persona.
Archive a webhookTool to archive a Persona webhook by its ID.
Archive Email Address List ItemTool to archive an Email Address List Item in Persona.
Archive IP Address List ItemTool to archive an IP address list item in Persona.
Archive Phone Number List ItemTool to archive a phone number list item in Persona.
Archive String List ItemTool to archive a String List Item in Persona.
Clone WebhookTool to clone an existing Persona webhook.
Consolidate AccountsTool to consolidate multiple source accounts into a single destination account.
Create an AccountTool to create an account in Persona.
Create IP Address List ItemTool to create an IP Address List Item in Persona.
Create Country List ItemTool to create a country list item in Persona.
Create Generic DocumentTool to create a generic document in Persona.
Create Email Address List ItemTool to create an email address list item in Persona.
Create Government ID Number List ItemTool to create a new government ID number list item in Persona.
Create Name List ItemTool to create a new name list item in Persona.
Create Phone Number List ItemTool to create a phone number list item in Persona.
Create String List ItemTool to create a String List Item in Persona.
Create WebhookTool to create a new webhook in Persona.
Disable WebhookTool to disable a webhook in Persona.
Enable WebhookTool to enable a webhook in Persona.
Expire Inquiry SessionsTool to expire all inquiry sessions for specified inquiry IDs.
Import Email Address ListsTool to import email addresses into a list from a CSV file.
Import IP Address ListsTool to import IP address lists into Persona.
Import Name ListsTool to import name lists to Persona.
Import Phone Number ListsTool to import phone number lists into Persona.
List All AccountsTool to list all accounts in Persona.
List All API LogsTool to list all API logs in Persona.
List All CasesTool to list all cases in Persona.
List All DevicesTool to list all devices filtered by inquiry session ID.
List all EventsTool to list all events from Persona.
List all ImportersTool to list all importers in Persona.
List All InquiriesTool to list all inquiries in Persona.
List All Inquiry SessionsTool to list all inquiry sessions in Persona.
List All ListsTool to list all lists in Persona.
List All Rate LimitsTool to list all rate limits in Persona.
List All ReportsTool to list all reports in Persona.
List All TransactionsTool to list all transactions in Persona.
List All WebhooksTool to list all webhooks in Persona.
List all Workflow RunsTool to list all workflow runs in Persona.
Redact an AccountTool to permanently redact an account in Persona.
Remove Account TagTool to remove a tag from a Persona Account.
Retrieve a Country List ItemTool to retrieve a country list item by ID in Persona.
Retrieve a Geolocation List ItemTool to retrieve a geolocation list item from Persona.
Retrieve an AccountTool to retrieve an account in Persona.
Retrieve a Name List ItemTool to retrieve a Name List Item in Persona.
Retrieve an EventTool to retrieve an event in Persona.
Retrieve an ImporterTool to retrieve a specific importer in Persona.
Retrieve IP Address List ItemTool to retrieve an IP Address List Item in Persona.
Retrieve an API LogTool to retrieve an API log in Persona.
Retrieve a String List ItemTool to retrieve a string list item by ID in Persona.
Retrieve a WebhookTool to retrieve a webhook by its ID.
Retrieve Browser Fingerprint List ItemTool to retrieve a browser fingerprint list item in Persona.
Retrieve a DocumentTool to retrieve a document from Persona.
Retrieve Generic DocumentTool to retrieve a generic document in Persona.
Retrieve Email Address List ItemTool to retrieve an Email Address List Item in Persona.
Retrieve Government ID Number List ItemTool to retrieve a Government ID Number List Item in Persona.
Retrieve Phone Number List ItemTool to retrieve a phone number list item in Persona.
Rotate Webhook SecretTool to rotate a webhook's secret in Persona.
Search AccountsTool to search accounts in Persona using flexible query criteria.
Search CasesTool to search cases in Persona using advanced query filters with boolean logic.
Set Tags on AccountTool to set tags on a Persona Account.
Update an AccountTool to update an account in Persona.
Update a WebhookTool to update a webhook in Persona.
Update Generic DocumentTool to update a generic document in Persona.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Persona account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Persona

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID

Installing dependencies

pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv

Create a new Python project and install the necessary dependencies:

  • composio-llamaindex: Composio's LlamaIndex integration
  • llama-index: Core LlamaIndex framework
  • llama-index-llms-openai: OpenAI LLM integration
  • llama-index-tools-mcp: MCP client for LlamaIndex
  • python-dotenv: Environment variable management

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Persona access

Import modules

import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

Create a new file called persona_llamaindex_agent.py and import the required modules:

Key imports:

  • asyncio: For async/await support
  • Composio: Main client for Composio services
  • LlamaIndexProvider: Adapts Composio tools for LlamaIndex
  • ReActAgent: LlamaIndex's reasoning and action agent
  • BasicMCPClient: Connects to MCP endpoints
  • McpToolSpec: Converts MCP tools to LlamaIndex format

Load environment variables and initialize Composio

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set in the environment")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment")

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["persona"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Persona actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Persona actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, persona)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Persona tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

What's happening here:

  • We're creating a direct terminal interface to chat with your Persona database
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are displayed in a clear, readable format

Define the main entry point

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Persona

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Persona, then start asking questions.

Complete Code

Here's the complete code to get you started with Persona and LlamaIndex:

import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["persona"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Persona actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Persona actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

Conclusion

You've successfully connected Persona to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Persona tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

How to build Persona MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Persona MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Persona MCP with Claude Agent SDK

Google ADK

Google ADK

Use Persona MCP with Google ADK

LangChain

LangChain

Use Persona MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Persona MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Persona MCP with Mastra AI

CrewAI

CrewAI

Use Persona MCP with CrewAI

Claude Code

Claude Code

Use Persona MCP with Claude Code

Codex

Codex

Use Persona MCP with Codex

FAQ

What are the differences in Tool Router MCP and Persona MCP?

With a standalone Persona MCP server, the agents and LLMs can only access a fixed set of Persona tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Persona and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with LlamaIndex?

Yes, you can. LlamaIndex fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Persona tools.

Can I manage the permissions and scopes for Persona while using Tool Router?

Yes, absolutely. You can configure which Persona scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Persona data and credentials are handled as safely as possible.

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