# How to integrate Fomo MCP with Mastra AI

```json
{
  "title": "How to integrate Fomo MCP with Mastra AI",
  "toolkit": "Fomo",
  "toolkit_slug": "fomo",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/fomo/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/fomo/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:12:02.359Z"
}
```

## Introduction

This guide walks you through connecting Fomo to Mastra AI using the Composio tool router. By the end, you'll have a working Fomo agent that can show latest fomo events from this week, summarize top fomo notifications today, list recent user actions triggering notifications through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Fomo account through Composio's Fomo MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Fomo with

- [OpenAI Agents SDK](https://composio.dev/toolkits/fomo/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/fomo/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/fomo/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/fomo/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/fomo/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/fomo/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/fomo/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/fomo/framework/cli)
- [Google ADK](https://composio.dev/toolkits/fomo/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/fomo/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/fomo/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/fomo/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/fomo/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 Fomo tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Fomo 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 Fomo 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 Fomo MCP server, and what's possible with it?

The Fomo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fomo account. It provides structured and secure access to your Fomo event data, so your agent can retrieve notifications, track marketing activity, monitor engagement, and surface real-time insights from your website’s social proof events.
- Fetch recent Fomo events: Instantly retrieve a list of all recent user activity events displayed on your website for analytics or reporting.
- Monitor social proof notifications: Allow your agent to access and summarize the latest notification activity to assess campaign performance.
- Analyze marketing conversion data: Let your agent pull event records to help you understand which actions drive conversions or engagement.
- Track user interactions over time: Easily view trends in visitor activity and notification triggers to inform marketing strategy.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FOMO_CREATE_FOMO_EVENT` | Create Fomo Event | Tool to create a new social proof event in Fomo. Use when you want to display an animated notification on your website showing recent customer activity. Events are created based on notification templates (event_type_id) and can include customer details, location, and product information. |
| `FOMO_CREATE_FOMO_TEMPLATE` | Create Fomo Template | Tool to create a Template (Event Type) in Fomo. Use when building 3rd party Fomo integrations. Templates define the message structure for notification events and can include markdown formatting, custom images, avatar support, and IP-based location mapping. |
| `FOMO_DELETE_FOMO_EVENT` | Delete Fomo Event | Tool to delete a Fomo event by ID. Permanently removes the notification event from the application. Use when you need to remove a specific event from your Fomo account. |
| `FOMO_GET_FOMO_EVENT` | Get Fomo Event | Tool to retrieve a single event by ID from Fomo. Use when you need to fetch details of a specific notification event using its unique identifier. |
| `FOMO_GET_STATISTICS` | Get Fomo Statistics | Tool to fetch notification impressions, clicks, and conversion data for your Fomo application. Returns analytics statistics within a specified date range. Use when you need to analyze notification performance metrics. |
| `FOMO_LIST_EVENTS` | List Fomo Events | Tool to retrieve all notification events from your Fomo application. Use when you need to list, query, or paginate through events. Supports pagination, sorting, and optional metadata about total event counts. |
| `FOMO_SEARCH_EVENT` | Search Event | Tool to search for a specific Fomo event by external_id or email_address. Use when you need to find a single event using a unique identifier. Returns the full event details if found. |
| `FOMO_UPDATE_APPLICATION` | Update Application Settings | Tool to update Fomo application settings including display configuration, notification behavior, theme, position, and UTM tracking parameters. Use when you need to modify widget appearance, timing, or tracking settings for a Fomo application. |
| `FOMO_UPDATE_EVENT` | Update Fomo Event | Tool to update an existing Fomo event. Changes key-value pairs of an event such as location, name, title, or custom fields. Use when you need to modify event properties after creation. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Fomo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Fomo. It provides structured and secure access so your agent can perform Fomo 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 Fomo 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 Fomo

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "fomo" for Fomo 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: ["fomo"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Fomo 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 Fomo 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: "fomo-mastra-agent",
    instructions: "You are an AI agent with Fomo 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 Fomo 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: {
        fomo: 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: ["fomo"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      fomo: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "fomo-mastra-agent",
    instructions: "You are an AI agent with Fomo 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: { fomo: 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 Fomo 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 Fomo MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/fomo/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/fomo/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/fomo/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/fomo/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/fomo/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/fomo/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/fomo/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/fomo/framework/cli)
- [Google ADK](https://composio.dev/toolkits/fomo/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/fomo/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/fomo/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/fomo/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/fomo/framework/crew-ai)

## Related Toolkits

- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Fomo MCP?

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

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
