# How to integrate La Growth Machine MCP with Mastra AI ```json { "title": "How to integrate La Growth Machine MCP with Mastra AI", "toolkit": "La Growth Machine", "toolkit_slug": "lagrowthmachine", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/lagrowthmachine/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/lagrowthmachine/framework/mastra-ai.md", "updated_at": "2026-03-29T06:39:56.150Z" } ``` ## Introduction This guide walks you through connecting La Growth Machine to Mastra AI using the Composio tool router. By the end, you'll have a working La Growth Machine agent that can launch a multi-channel campaign for new leads, get outreach stats for this week's campaigns, add a contact to your sales pipeline through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a La Growth Machine account through Composio's La Growth Machine MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate La Growth Machine with - [OpenAI Agents SDK](https://composio.dev/toolkits/lagrowthmachine/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/lagrowthmachine/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/lagrowthmachine/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/lagrowthmachine/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/lagrowthmachine/framework/codex) - [OpenClaw](https://composio.dev/toolkits/lagrowthmachine/framework/openclaw) - [Hermes](https://composio.dev/toolkits/lagrowthmachine/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/lagrowthmachine/framework/cli) - [Google ADK](https://composio.dev/toolkits/lagrowthmachine/framework/google-adk) - [LangChain](https://composio.dev/toolkits/lagrowthmachine/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/lagrowthmachine/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/lagrowthmachine/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/lagrowthmachine/framework/crew-ai) ## TL;DR Here's what you'll learn: - Set up your environment so Mastra, OpenAI, and Composio work together - Create a Tool Router session in Composio that exposes La Growth Machine tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch La Growth Machine tool definitions and attach them as a toolset - Build a Mastra agent that can reason, call tools, and return structured results - Run an interactive CLI where you can chat with your La Growth Machine agent ## What is Mastra AI? Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP. Key features include: - MCP Client: Built-in support for Model Context Protocol servers - Toolsets: Organize tools into logical groups - Step Callbacks: Monitor and debug agent execution - OpenAI Integration: Works with OpenAI models via @ai-sdk/openai ## What is the La Growth Machine MCP server, and what's possible with it? The La Growth Machine MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your La Growth Machine account. It provides structured and secure access so your agent can perform La Growth Machine operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LAGROWTHMACHINE_ADD_RB2B_VISITOR_TO_AUDIENCE` | Add RB2B Visitor to Audience | Tool to add RB2B website visitor to a LaGrowthMachine audience via native webhook. Use when you need to push identified website visitors from RB2B into a specific audience for outreach campaigns. | | `LAGROWTHMACHINE_CREATE_AUDIENCE_FROM_LINKEDIN_URL` | Create Audience from LinkedIn URL | Tool to import leads into La Growth Machine audiences from LinkedIn URLs. Accepts LinkedIn Regular search URLs, Sales Navigator search URLs, or LinkedIn post URLs. Requires specifying the identity to impersonate and the audience name to populate. | | `LAGROWTHMACHINE_CREATE_INBOX_WEBHOOK` | Create Inbox Webhook | Tool to create an inbox webhook for real-time notifications. Use when you need to receive notifications about LinkedIn and Email messages sent or received by leads in La Growth Machine campaigns. | | `LAGROWTHMACHINE_CREATE_OR_UPDATE_LEAD` | Create or Update Lead | Tool to create or update a lead in LaGrowthMachine. Requires audience plus at least one identifier: proEmail, persoEmail, linkedinUrl, twitter, or firstname+lastname with companyUrl/companyName. Use leadId to update an existing lead. | | `LAGROWTHMACHINE_DELETE_INBOX_WEBHOOK` | Delete Inbox Webhook | Tool to delete an existing inbox webhook by its ID. Use when you need to stop receiving inbox events at the webhook URL. | | `LAGROWTHMACHINE_GET_CAMPAIGNS` | Get Campaigns | Tool to retrieve all campaigns from LaGrowthMachine with pagination support. Use when you need to list campaigns, with optional skip and limit parameters for pagination (max 25 per page). | | `LAGROWTHMACHINE_LIST_AUDIENCES` | List Audiences | Tool to list all audiences in your LaGrowthMachine account. Use when you need to retrieve audience details including ID, name, description, size, type, and source URL. | | `LAGROWTHMACHINE_LIST_IDENTITIES` | List Identities | Tool to list all connected identities in your LaGrowthMachine account. Use when you need to retrieve identity IDs for sending LinkedIn or Email messages through other APIs. | | `LAGROWTHMACHINE_LIST_INBOX_WEBHOOKS` | List Inbox Webhooks | Tool to list all inbox webhooks currently configured in your workspace. Use when you need to retrieve webhook IDs, names, and target URLs for webhook management or audit purposes. | | `LAGROWTHMACHINE_LIST_MEMBERS` | List Members | Tool to list all members (users) associated with your workspace. Use when you need to retrieve member information, especially memberId which is required for action-based endpoints like sending LinkedIn or Email messages. | | `LAGROWTHMACHINE_REGISTER_VECTOR_VISITOR_WEBHOOK` | Register Vector Visitor Webhook | Tool to register Vector website visitors to a La Growth Machine audience. Use when receiving visitor events from Vector integration to automatically add identified contacts to the specified audience. | | `LAGROWTHMACHINE_REMOVE_LEAD_FROM_AUDIENCES` | Remove Lead From Audiences | Tool to remove a lead from one or more specified audiences in La Growth Machine. Use when you need to unsubscribe or remove a lead from audience lists. | | `LAGROWTHMACHINE_SEARCH_LEAD` | Search Lead | Tool to search for a lead using various criteria. Use when you need to find a lead by email, LinkedIn URL, lead ID, or name combination. At least one of these must be provided: email, linkedinUrl, leadId, or firstname+lastname+(companyName or companyUrl). | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The La Growth Machine MCP server is an implementation of the Model Context Protocol that connects your AI agent to La Growth Machine. It provides structured and secure access so your agent can perform La Growth Machine operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Node.js 18 or higher - A Composio account with an active API key - An OpenAI API key - Basic familiarity with TypeScript ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. - You need credits or a connected billing setup to use the models. - Store the key somewhere safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Go to Settings and copy your API key. - This key lets your Mastra agent talk to Composio and reach La Growth Machine through MCP. ### 2. Install dependencies Install the required packages. What's happening: - @composio/core is the Composio SDK for creating MCP sessions - @mastra/core provides the Agent class - @mastra/mcp is Mastra's MCP client - @ai-sdk/openai is the model wrapper for OpenAI - dotenv loads environment variables from .env ```bash npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio - COMPOSIO_USER_ID tells Composio which user this session belongs to - OPENAI_API_KEY lets the Mastra agent call OpenAI models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import libraries and validate environment What's happening: - dotenv/config auto loads your .env so process.env.* is available - openai gives you a Mastra compatible model wrapper - Agent is the Mastra agent that will call tools and produce answers - MCPClient connects Mastra to your Composio MCP server - Composio is used to create a Tool Router session ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) 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 as string, }); ``` ### 5. Create a Tool Router session for La Growth Machine What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "lagrowthmachine" for La Growth Machine access - session.mcp.url is the MCP URL that Mastra's MCPClient will connect to ```typescript async function main() { const session = await composio.create( composioUserID as string, { toolkits: ["lagrowthmachine"], }, ); const composioMCPUrl = session.mcp.url; console.log("La Growth Machine MCP URL:", composioMCPUrl); ``` ### 6. Configure Mastra MCP client and fetch tools What's happening: - MCPClient takes an id for this client and a list of MCP servers - The headers property includes the x-api-key for authentication - getTools fetches the tool definitions exposed by the La Growth Machine toolkit ```typescript const mcpClient = new MCPClient({ id: composioUserID as string, servers: { nasdaq: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); console.log("Fetching MCP tools from Composio..."); const composioTools = await mcpClient.getTools(); console.log("Number of tools:", Object.keys(composioTools).length); ``` ### 7. Create the Mastra agent What's happening: - Agent is the core Mastra agent - name is just an identifier for logging and debugging - instructions guide the agent to use tools instead of only answering in natural language - model uses openai("gpt-5") to configure the underlying LLM ```typescript const agent = new Agent({ name: "lagrowthmachine-mastra-agent", instructions: "You are an AI agent with La Growth Machine tools via Composio.", model: "openai/gpt-5", }); ``` ### 8. Set up interactive chat interface What's happening: - messages keeps the full conversation history in Mastra's expected format - agent.generate runs the agent with conversation history and La Growth Machine toolsets - maxSteps limits how many tool calls the agent can take in a single run - onStepFinish is a hook that prints intermediate steps for debugging ```typescript let messages: AiMessageType[] = []; console.log("Chat started! Type 'exit' or 'quit' to end.\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({ id: crypto.randomUUID(), role: "user", content: trimmedInput, }); console.log("\nAgent is thinking...\n"); try { const response = await agent.generate(messages, { toolsets: { lagrowthmachine: composioTools, }, maxSteps: 8, }); const { text } = response; if (text && text.trim().length > 0) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text, }); } } catch (error) { console.error("\nError:", error); } rl.prompt(); }); rl.on("close", async () => { console.log("\nSession ended."); await mcpClient.disconnect(); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) 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 as string }); async function main() { const session = await composio.create(composioUserID as string, { toolkits: ["lagrowthmachine"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { lagrowthmachine: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "lagrowthmachine-mastra-agent", instructions: "You are an AI agent with La Growth Machine tools via Composio.", model: "openai/gpt-5", }); let messages: AiMessageType[] = []; const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (input: string) => { const trimmed = input.trim(); if (["exit", "quit"].includes(trimmed.toLowerCase())) { rl.close(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed }); const { text } = await agent.generate(messages, { toolsets: { lagrowthmachine: composioTools }, maxSteps: 8, }); if (text) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text }); } rl.prompt(); }); rl.on("close", async () => { await mcpClient.disconnect(); process.exit(0); }); } main(); ``` ## Conclusion You've built a Mastra AI agent that can interact with La Growth Machine through Composio's Tool Router. You can extend this further by: - Adding other toolkits like Gmail, Slack, or GitHub - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows ## How to build La Growth Machine MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/lagrowthmachine/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/lagrowthmachine/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/lagrowthmachine/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/lagrowthmachine/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/lagrowthmachine/framework/codex) - [OpenClaw](https://composio.dev/toolkits/lagrowthmachine/framework/openclaw) - [Hermes](https://composio.dev/toolkits/lagrowthmachine/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/lagrowthmachine/framework/cli) - [Google ADK](https://composio.dev/toolkits/lagrowthmachine/framework/google-adk) - [LangChain](https://composio.dev/toolkits/lagrowthmachine/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/lagrowthmachine/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/lagrowthmachine/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/lagrowthmachine/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates. - [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and La Growth Machine MCP? With a standalone La Growth Machine MCP server, the agents and LLMs can only access a fixed set of La Growth Machine tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from La Growth Machine and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Mastra AI? Yes, you can. Mastra AI 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 La Growth Machine tools. ### Can I manage the permissions and scopes for La Growth Machine while using Tool Router? Yes, absolutely. You can configure which La Growth Machine 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 La Growth Machine data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)