How to integrate Gosquared MCP with Vercel AI SDK

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Introduction

This guide walks you through connecting Gosquared to Vercel AI SDK 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 Vercel AI SDK 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:
  • How to set up and configure a Vercel AI SDK agent with Gosquared integration
  • Using Composio's Tool Router to dynamically load and access Gosquared tools
  • Creating an MCP client connection using HTTP transport
  • Building an interactive CLI chat interface with conversation history management
  • Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

  • streamText: Core function for streaming responses with real-time tool support
  • MCP Client: Built-in support for Model Context Protocol
  • Step Counting: Control multi-step tool execution
  • OpenAI Provider: Native integration with OpenAI models

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:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install required dependencies

bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

First, install the necessary packages for your project.

What you're installing:

  • @ai-sdk/openai: Vercel AI SDK's OpenAI provider
  • @ai-sdk/mcp: MCP client for Vercel AI SDK
  • @composio/core: Composio SDK for tool integration
  • ai: Core Vercel AI SDK
  • dotenv: Environment variable management

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

  • OPENAI_API_KEY: Your OpenAI API key for GPT model access
  • COMPOSIO_API_KEY: Your Composio API key for tool access
  • COMPOSIO_USER_ID: A unique identifier for the user session

Import required modules and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { experimental_createMCPClient as createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
What's happening:
  • We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
  • The dotenv/config import automatically loads environment variables
  • The MCP client import enables connection to Composio's tool server

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const { session } = await composio.create(composioUserID!, {
    toolkits: ["gosquared"],
  });

  const mcpUrl = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Gosquared tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
  • This session provides access to all Gosquared-related tools through the MCP protocol

Connect to MCP server and retrieve tools

typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
What's happening:
  • We're creating an MCP client that connects to our Composio Tool Router session via HTTP
  • The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
  • The type: "http" is important - Composio requires HTTP transport
  • tools() retrieves all available Gosquared tools that the agent can use

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to gosquared, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();
What's happening:
  • We initialize an empty messages array to maintain conversation history
  • A readline interface is created to accept user input from the command line
  • Instructions are displayed to guide the user on how to interact with the agent

Handle user input and stream responses with real-time tool feedback

typescript
rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\nšŸ‘‹ Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • We use streamText instead of generateText to stream responses in real-time
  • toolChoice: "auto" allows the model to decide when to use Gosquared tools
  • stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
  • onStepFinish callback displays which tools are being used in real-time
  • We iterate through the text stream to create a typewriter effect as the agent responds
  • The complete response is added to conversation history to maintain context
  • Errors are caught and displayed with helpful retry suggestions

Complete Code

Here's the complete code to get you started with Gosquared and Vercel AI SDK:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { experimental_createMCPClient as createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const { session } = await composio.create(composioUserID!, {
    toolkits: ["gosquared"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to gosquared, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
      console.log("\nGoodbye!");
      rl.close();
      process.exit(0);
    }

    if (!trimmedInput) {
      rl.prompt();
      return;
    }

    messages.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\nšŸ‘‹ Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

Conclusion

You've successfully built a Gosquared agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

  • Real-time streaming responses for a better user experience with typewriter effect
  • Live tool execution feedback showing which tools are being used as the agent works
  • Dynamic tool loading through Composio's Tool Router with secure authentication
  • Multi-step tool execution with configurable step limits (up to 10 steps)
  • Comprehensive error handling for robust agent execution
  • Conversation history maintenance for context-aware responses

You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

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

Mastra AI

Mastra AI

Use Gosquared MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Gosquared MCP with LlamaIndex

CrewAI

CrewAI

Use Gosquared MCP with CrewAI

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 Vercel AI SDK?

Yes, you can. Vercel AI SDK 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.

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HubSpot
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