How to integrate Gosquared MCP with LlamaIndex

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Introduction

This guide walks you through connecting Gosquared to LlamaIndex using the Composio tool router. By the end, you'll have a working Gosquared agent that can list all websites linked to my account, show active chat conversations from today, add a new shared user by email, delete a person and blacklist them through natural language commands.

This guide will help you understand how to give your LlamaIndex agent real control over a Gosquared account through Composio's Gosquared 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 Gosquared
  • Connect LlamaIndex to the Gosquared MCP server
  • Build a Gosquared-powered agent using LlamaIndex
  • Interact with Gosquared 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 Gosquared MCP server, and what's possible with it?

The Gosquared MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gosquared account. It provides structured and secure access to your real-time web analytics and customer engagement data, so your agent can perform actions like managing team members, analyzing chat conversations, retrieving site data, and handling customer profiles on your behalf.

  • Team member management: Seamlessly add or remove shared users from your GoSquared projects, making it easy to control who has access to your analytics and engagement tools.
  • Insightful chat analytics: Retrieve chat conversations, messages, and conversation feeds, enabling your agent to analyze customer interactions and surface important chat history.
  • Project and site listing: Quickly list all sites and projects accessible to your account, so your assistant can pull structured data about your web properties.
  • API key validation and security checks: Verify API key validity and scopes to ensure secure, authorized access before performing sensitive operations.
  • Customer profile management: Delete person records, including all associated data, when you need to manage your user database or enforce data privacy requests.

Supported Tools & Triggers

Tools
Add Shared UserTool to add a new shared user to a project.
Remove shared userTool to remove a user from a GoSquared project.
Account Shared UsersTool to retrieve all team members that have access to a given project.
List Account SitesTool to list all projects/sites accessible to the authenticated account.
Check API Token Validity and ScopesTool to check whether an API key is valid and retrieve its enabled scopes.
Retrieve Chat ConversationTool to retrieve a chat conversation by its ID.
Retrieve Chat MessagesTool to retrieve a list of messages from a chat conversation.
Retrieve Chat ConversationsTool to retrieve chat data for reporting purposes.
Retrieve Chat FeedTool to retrieve messages and events from a chat conversation.
Delete personTool to delete a person profile and all associated data.
Get specific chat messageTool to retrieve a specific chat message.
Get Specific VisitorTool to retrieve information for a specific online visitor.
Get People Event TypesTool to retrieve event types ordered by tracked count.
Get People Property TypesTool to retrieve all property types in People CRM.
Get PersonTool to retrieve a specific person profile by ID.
GoSquared - Get Person FeedTool to retrieve a specific person's event feed in reverse chronological order.
List PeopleTool to search and filter People CRM profiles.
Get current concurrent visitorsTool to retrieve the number of concurrent visitors currently on your site.
Get Real-Time Popular PagesTool to retrieve the most popular pages currently being viewed on your site.
Get Real-Time Visitor PlatformsTool to retrieve platforms used by online visitors sorted by visitor count.
Get Real-Time OverviewTool to retrieve a summary of real-time data for the site.
Now SourcesTool to retrieve the most influential traffic sources currently driving visitors to your site.
Get Time SeriesTool to retrieve visitor counts over time as data points.
Get Real-Time Online VisitorsTool to retrieve a list of current online visitors.
GoSquared - People DevicesTool to retrieve device information from People CRM.
Export Smart Group FeedTool to export all pageview activity for a Smart Group to CSV.
Smart Group PeopleTool to retrieve people in a specific Smart Group.
List People SmartGroupsTool to retrieve all Smart Groups for a project.
Add Account SiteTool to add a new site to the GoSquared account.
Archive Chat ConversationTool to archive a chat conversation.
Send Chat MessageTool to send a message in a chat conversation.
Leave Chat NoteTool to leave a note in a chat conversation.
Unarchive Chat ConversationTool to unarchive a chat conversation.
Create People SmartGroupTool to add a new Smart Group to a GoSquared project.
Track GoSquared EventTool to send custom events to GoSquared.
Track GoSquared IdentifyTool to identify users and associate them with specific properties in GoSquared.
Track PageviewTool to track pageviews.
Track GoSquared TransactionTool to track e-commerce transactions.
Retrieve Aggregate MetricsTool to retrieve aggregate metrics for a specified period.
Get Campaign Medium MetricsTool to retrieve UTM medium metrics over a time period.
Retrieve Event CountsTool to retrieve counts of event triggers over a specified time period.
Get Page MetricsTool to retrieve page-level metrics over a specified period.
Get Base Path MetricsTool to retrieve base path metrics over a time period.

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 Gosquared account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Gosquared

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 Gosquared 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 gosquared_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=["gosquared"],
    )

    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 Gosquared actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Gosquared 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, gosquared)
  • 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 Gosquared 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 Gosquared 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 Gosquared

Run the agent

npx ts-node llamaindex-agent.ts

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

Complete Code

Here's the complete code to get you started with Gosquared 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=["gosquared"],
    )

    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 Gosquared actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Gosquared 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 Gosquared to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Gosquared 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 Gosquared MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Gosquared MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Gosquared MCP with Claude Agent SDK

Google ADK

Google ADK

Use Gosquared MCP with Google ADK

LangChain

LangChain

Use Gosquared MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Gosquared MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Gosquared MCP with Mastra AI

CrewAI

CrewAI

Use Gosquared MCP with CrewAI

Claude Code

Claude Code

Use Gosquared MCP with Claude Code

FAQ

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

With a standalone Gosquared MCP server, the agents and LLMs can only access a fixed set of Gosquared tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gosquared 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 Gosquared tools.

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

Yes, absolutely. You can configure which Gosquared 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 Gosquared data and credentials are handled as safely as possible.

Used by agents from

Context
Letta
glean
HubSpot
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Altera
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HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
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HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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