# How to integrate Customerio MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Customerio MCP with OpenAI Agents SDK",
  "toolkit": "Customerio",
  "toolkit_slug": "customerio",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/customerio/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/customerio/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:08:00.753Z"
}
```

## Introduction

This guide walks you through connecting Customerio to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Customerio agent that can list all segments in your workspace, get delivery metrics for last week's emails, show all people in vip customer segment through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Customerio account through Composio's Customerio MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Customerio with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Customerio
- Configure an AI agent that can use Customerio as a tool
- Run a live chat session where you can ask the agent to perform Customerio operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Customerio MCP server, and what's possible with it?

The Customerio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Customer.io account. It provides structured and secure access to your customer engagement workspace, allowing your agent to send targeted communications, manage segments, retrieve messaging analytics, and automate customer data management on your behalf.
- Targeted message analytics and tracking: Retrieve detailed lists of messages sent, including delivery metrics, to monitor campaign performance and engagement.
- Segment discovery and membership management: Let your agent fetch all segments, get details for a specific segment, and list all customers in a segment for precise audience targeting.
- Integration and webhook management: Have your agent list and review all integrations and webhooks in your workspace to streamline system connectivity and reporting.
- Customer profile suppression: Direct your agent to permanently suppress (delete and block) customer profiles, ensuring compliance and data privacy.
- Collection metadata retrieval: Retrieve up-to-date details for all collections in your workspace, keeping your AI-powered workflows and automations in sync with your data sources.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CUSTOMERIO_ADD_PERSON_TO_GROUP` | Add Person to Group | Tool to add people to a group in Customer.io. Groups represent objects like companies, accounts, or projects that people belong to. Use when you need to establish relationships between people and organizational entities. |
| `CUSTOMERIO_CREATE_ALIAS` | Create Profile Alias | Tool to create an alias to merge multiple profiles in Customer.io. Use when you need to support multiple identifiers for a single person. The alias operation moves all data from the previous_id profile to the user_id profile, consolidating them into a single canonical profile. |
| `CUSTOMERIO_CUSTOMER_IO_SUPPRESS_PERSON` | Suppress Customer Profile | Suppress a customer profile to permanently delete it and prevent re-adding with the same identifier. IMPORTANT: This action requires Track API credentials (Basic Auth with siteId:apiKey), not App API credentials. Suppression also deletes the customer profile - you don't need to call a separate delete endpoint. Use this for GDPR/CCPA compliance requests. The operation is irreversible and prevents any future attempts to re-add a person with the same identifier (email or ID). |
| `CUSTOMERIO_GET_INTEGRATIONS` | Get Integrations | Tool to retrieve a list of integrations in your workspace. Use when you need to discover configured integrations. |
| `CUSTOMERIO_GET_MESSAGES` | Get Messages | Tool to retrieve a list of messages sent from your workspace. Use when you need paginated delivery metrics for messages, e.g., list email messages delivered between two timestamps. |
| `CUSTOMERIO_GET_SEGMENT_DETAILS` | Get Segment Details | Tool to retrieve details of a specific segment. Use after identifying the segment ID from list segments. |
| `CUSTOMERIO_GET_SEGMENT_MEMBERSHIP` | Get Segment Membership | Tool to retrieve people in a specific segment. Use when you need to page through segment membership after identifying segment ID. |
| `CUSTOMERIO_GET_SEGMENTS` | Get Segments | Tool to retrieve a list of segments in your workspace. Use when you need to fetch all segments after configuring segment rules. |
| `CUSTOMERIO_GET_TRIGGER` | Get Trigger | Retrieves details about a specific API-triggered broadcast, including trigger ID, campaign ID, creation timestamp, recipient filter criteria, and personalization data. Use this after triggering a broadcast to verify its configuration and check the data used for message personalization. |
| `CUSTOMERIO_GET_TRIGGERS` | Get Broadcast Triggers | Retrieve all API trigger instances for a specific broadcast/campaign. Returns trigger metadata including IDs, creation timestamps, and processing status. Use after triggering a broadcast to list all its trigger executions. |
| `CUSTOMERIO_GET_WEBHOOKS` | Get Customer.io Workspace Webhooks | Retrieves all reporting webhook configurations from the Customer.io workspace. Reporting webhooks send event notifications (message sent, opened, clicked, etc.) to your specified endpoints. Use this to list all configured webhooks and their settings including subscribed events, endpoints, and status. Returns an empty list if no webhooks are configured. |
| `CUSTOMERIO_IDENTIFY_PERSON` | Identify Person | Tool to identify a person and assign traits to them in Customer.io. Creates a new person profile if it doesn't exist, or updates an existing one. Use when adding new users, updating user profiles, or tracking anonymous visitors. Either user_id or anonymous_id must be provided. |
| `CUSTOMERIO_LIST_COLLECTIONS` | List Collections | Tool to list all Collections metadata. Use when you need to retrieve current details of each Collection in your workspace. |
| `CUSTOMERIO_LIST_IP_ADDRESSES` | List IP Addresses | Tool to retrieve the list of IP addresses used by Customer.io for sending messages. Use when you need to allowlist or configure firewall rules for Customer.io's sending infrastructure. |
| `CUSTOMERIO_LIST_NEWSLETTERS` | List Newsletters | Tool to list all newsletters. Use when paginating through newsletter metadata. |
| `CUSTOMERIO_LIST_SNIPPETS` | List Snippets | Tool to list all snippets in your workspace. Use when you need to retrieve all reusable content snippets for templating or dynamic content insertion. |
| `CUSTOMERIO_LIST_TRANSACTIONAL_MESSAGES` | List Transactional Messages | Lists all transactional message templates in your Customer.io workspace. Returns the ID and name (trigger name) for each template. Use this when you need to discover available transactional message templates or retrieve their IDs for sending messages via the API. |
| `CUSTOMERIO_SEND_BATCH` | Send Batch CDP Calls | Send multiple CDP calls (identify, track, page, screen, group, alias) in a single batch request. Use this to efficiently send multiple events or profile updates in one API call. The batch endpoint supports up to 500KB total with 32KB per individual call. Each call in the batch can be a different type (identify, track, page, screen, group, or alias). Requirements by call type: - identify/track/page/screen: Require userId or anonymousId - group: Requires groupId (and userId or anonymousId) - track: Requires event name - alias: Requires userId and previousId Note: This action uses the CDP API base URL (https://cdp.customer.io/v1) which differs from the Track API base URL used by some other Customer.io actions. |
| `CUSTOMERIO_TRACK_EVENT` | Track Event | Tool to send an event associated with a person in Customer.io. Records actions users take, along with properties that describe the action. Use when you need to track user behavior, conversions, or custom events for segmentation and campaigns. |
| `CUSTOMERIO_TRACK_PAGE` | Track Page View | Tool to track page view events for website visitors in Customer.io. Use when recording user navigation or page impressions on your website. IMPORTANT: This action requires CDP API credentials (Bearer token), not Track API or App API credentials. Either user_id or anonymous_id must be provided to identify the viewer. Include properties like url, title, and path to enrich analytics and segmentation capabilities. |
| `CUSTOMERIO_TRACK_SCREEN` | Track Screen View | Track mobile screen views in Customer.io for analytics and user journey tracking. Records when a user views a screen in your mobile app. Use this when you need to: - Track user navigation patterns in mobile apps - Record screen views for engagement analytics - Trigger workflows based on specific screen visits - Build user journey maps based on screen flow Requirements: - Provide either userId (for known users) or anonymousId (for anonymous users) - Screen name is required to identify which screen was viewed - Optionally include properties for additional context (platform, category, etc.) Note: This endpoint uses the CDP API (cdp.customer.io), not the standard App API. |
| `CUSTOMERIO_TRIGGER_BROADCAST` | Trigger Broadcast | Manually trigger a Customer.io broadcast/campaign to send messages to a defined audience. Use this when you need to: - Send a pre-configured broadcast to specific recipients (by ID or email) - Override the broadcast's default UI-defined audience with custom filtering - Provide personalization data for Liquid template variables - Send individualized content using per_user_data Requirements: - broadcast_id: Must be a valid broadcast ID from Customer.io (find in broadcast's Triggering Details) - Audience: Provide exactly ONE of: recipients, ids, emails, per_user_data, or data_file_url Rate Limits: This endpoint allows one request every 10 seconds per broadcast. |
| `CUSTOMERIO_UNSUBSCRIBE_DELIVERY` | Unsubscribe from Delivery | Tool to handle custom unsubscribe requests for email deliveries in Customer.io. Use when you need to unsubscribe a person from emails and attribute the action to a specific delivery. IMPORTANT: This action requires Track API credentials (Basic Auth with siteId:apiKey), not App API credentials. The unsubscribe action sets the person's unsubscribed attribute to true. |

## Supported Triggers

None listed.

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

The Customerio MCP server is an implementation of the Model Context Protocol that connects your AI agent to Customerio. It provides structured and secure access so your agent can perform Customerio 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Customerio project
- Some knowledge of Python or 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'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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Customerio.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only customerio.
- The router checks the user's Customerio connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Customerio.
- This approach keeps things lightweight and lets the agent request Customerio tools only when needed during the conversation.
```python
# Create a Customerio Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["customerio"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Customerio
const session = await composio.create(userId as string, {
  toolkits: ['customerio'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Customerio. "
        "Help users perform Customerio operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Customerio. Help users perform Customerio operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["customerio"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Customerio. "
        "Help users perform Customerio operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['customerio'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Customerio. Help users perform Customerio operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

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

## Conclusion

This was a starter code for integrating Customerio MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Customerio.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Customerio MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/customerio/framework/chatgpt)
- [Claude Agent SDK](https://composio.dev/toolkits/customerio/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/customerio/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/customerio/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/customerio/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/customerio/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/customerio/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/customerio/framework/cli)
- [Google ADK](https://composio.dev/toolkits/customerio/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/customerio/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/customerio/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/customerio/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/customerio/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/customerio/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.
- [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.
- [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement.

## Frequently Asked Questions

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

With a standalone Customerio MCP server, the agents and LLMs can only access a fixed set of Customerio tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Customerio and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents 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 Customerio tools.

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

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

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