# How to integrate Aeroleads MCP with Mastra AI ```json { "title": "How to integrate Aeroleads MCP with Mastra AI", "toolkit": "Aeroleads", "toolkit_slug": "aeroleads", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/aeroleads/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/aeroleads/framework/mastra-ai.md", "updated_at": "2026-10-05T05:27:49.739Z" } ``` ## Introduction This guide walks you through connecting Aeroleads to Mastra AI using the Composio tool router. By the end, you'll have a working Aeroleads agent that can find email for this linkedin profile, get company details from linkedin url, enrich contact profile using linkedin info through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Aeroleads account through Composio's Aeroleads MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Aeroleads with - [Claude Code](https://composio.dev/toolkits/aeroleads/framework/claude-code) - [ChatGPT](https://composio.dev/toolkits/aeroleads/framework/chatgpt) - [Claude Cowork](https://composio.dev/toolkits/aeroleads/framework/claude-cowork) - [Antigravity](https://composio.dev/toolkits/aeroleads/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/aeroleads/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/aeroleads/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/aeroleads/framework/codex) - [OpenClaw](https://composio.dev/toolkits/aeroleads/framework/openclaw) - [Hermes](https://composio.dev/toolkits/aeroleads/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/aeroleads/framework/atomic-agent) - [Google ADK](https://composio.dev/toolkits/aeroleads/framework/google-adk) - [LangChain](https://composio.dev/toolkits/aeroleads/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/aeroleads/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/aeroleads/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/aeroleads/framework/crew-ai) - [Pydantic AI](https://composio.dev/toolkits/aeroleads/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/aeroleads/framework/autogen) ## 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 Aeroleads tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Aeroleads 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 Aeroleads 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 Aeroleads MCP server, and what's possible with it? The Aeroleads MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Aeroleads account. It provides structured and secure access to prospect information from LinkedIn profile URLs, so your agent can look up prospects, retrieve available details, review individual profiles, and use the returned information in its work on your behalf. - LinkedIn prospect lookup: Have your agent retrieve available prospect information from a LinkedIn profile URL you provide. - Individual profile research: Let the agent look up a specific person through their LinkedIn profile and return the available details. - Prospect detail retrieval: Direct your agent to gather the information Aeroleads provides for a selected LinkedIn profile. - Agent-ready prospect context: Instruct your agent to use retrieved prospect details as context for research, notes, or follow-up tasks. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `AEROLEADS_GET_DETAILS_FROM_LINKEDIN_URL` | Get Details From LinkedIn URL | Tool to retrieve detailed information about a prospect using their LinkedIn profile URL. Use after confirming you have a valid public LinkedIn URL, to enrich lead profiles with additional details. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Aeroleads MCP server is an implementation of the Model Context Protocol that connects your AI agent to Aeroleads. It provides structured and secure access so your agent can perform Aeroleads 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 Aeroleads 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 Aeroleads What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "aeroleads" for Aeroleads 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: ["aeroleads"], }, ); const composioMCPUrl = session.mcp.url; console.log("Aeroleads 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 Aeroleads 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: "aeroleads-mastra-agent", instructions: "You are an AI agent with Aeroleads 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 Aeroleads 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: { aeroleads: 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: ["aeroleads"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { aeroleads: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "aeroleads-mastra-agent", instructions: "You are an AI agent with Aeroleads 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: { aeroleads: 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 Aeroleads 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 Aeroleads MCP Agent with another framework - [Claude Code](https://composio.dev/toolkits/aeroleads/framework/claude-code) - [ChatGPT](https://composio.dev/toolkits/aeroleads/framework/chatgpt) - [Claude Cowork](https://composio.dev/toolkits/aeroleads/framework/claude-cowork) - [Antigravity](https://composio.dev/toolkits/aeroleads/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/aeroleads/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/aeroleads/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/aeroleads/framework/codex) - [OpenClaw](https://composio.dev/toolkits/aeroleads/framework/openclaw) - [Hermes](https://composio.dev/toolkits/aeroleads/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/aeroleads/framework/atomic-agent) - [Google ADK](https://composio.dev/toolkits/aeroleads/framework/google-adk) - [LangChain](https://composio.dev/toolkits/aeroleads/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/aeroleads/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/aeroleads/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/aeroleads/framework/crew-ai) - [Pydantic AI](https://composio.dev/toolkits/aeroleads/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/aeroleads/framework/autogen) ## Related Toolkits - [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. - [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. - [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations. - [Botdog](https://composio.dev/toolkits/botdog) - Botdog is a LinkedIn outreach platform for managing campaigns, leads, messages, analytics, and sending accounts. It helps sales teams run outbound workflows and track performance from one place. - [BotPenguin](https://composio.dev/toolkits/botpenguin) - BotPenguin is an AI chatbot platform for customer messaging, contacts, and conversations. It helps teams manage bot-led support and lead engagement across channels. - [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code. - [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding. - [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls. - [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources. - [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates. - [Charla](https://composio.dev/toolkits/charla) - Charla is a live chat and AI customer-support platform for property teams. It helps manage guest conversations, property contacts, and support knowledge. - [Chatforma](https://composio.dev/toolkits/chatforma) - Chatforma is a chatbot automation platform for building and managing bots. It helps teams run dialogs, segments, broadcasts, forms, and user updates from one place. - [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows. - [Crisp](https://composio.dev/toolkits/crisp) - Crisp is a customer messaging platform for live chat, contacts, helpdesk, and campaigns. It helps support teams manage customer conversations from one shared workspace. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality. - [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Aeroleads MCP? With a standalone Aeroleads MCP server, the agents and LLMs can only access a fixed set of Aeroleads tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Aeroleads 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 Aeroleads tools. ### Can I manage the permissions and scopes for Aeroleads while using Tool Router? Yes, absolutely. You can configure which Aeroleads 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 Aeroleads data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)