# Customer.io MCP

```json
{
  "name": "Customer.io MCP",
  "slug": "customerio_mcp",
  "url": "https://composio.dev/toolkits/customerio_mcp",
  "markdown_url": "https://composio.dev/toolkits/customerio_mcp.md",
  "logo_url": "https://logos.composio.dev/api/customerio_mcp",
  "categories": [
    "marketing & social media"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-24T07:23:11.686Z"
}
```

![Customer.io MCP logo](https://logos.composio.dev/api/customerio_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Customer.io MCP or direct API to manage people, trigger campaigns, send broadcasts, and update workspace settings through natural language.

## Summary

Customer.io MCP is a behavioral messaging platform for managing people, campaigns, broadcasts, and workspace configuration.
Use it to automate targeted lifecycle messaging, personalize communications, and orchestrate campaigns at scale.

## Categories

- marketing & social media

## Toolkit Details

- Tools: 8

## Images

- Logo: https://logos.composio.dev/api/customerio_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for Customer.io MCP.
  - Setup:
    - Configure Dcr Oauth credentials for Customer.io MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Add user to onboarding campaign now
- Create broadcast for new feature announcement
- Update person attributes and trigger campaign

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CUSTOMERIO_MCP_CIO_AUTH_STATUS` | Cio auth status | Show the active authentication state. Reports the authenticated user and account, the workspaces the current OAuth token is allowed to access, and whether an agent service-account JWT can be minted. Use this to diagnose auth errors. |
| `CUSTOMERIO_MCP_CIO_DELETE_API` | Cio delete api | Delete a resource via the Customer.io API (DELETE only). Always run with dry_run first to preview. Use cio_schema to find the correct path. |
| `CUSTOMERIO_MCP_CIO_PRIME` | Cio prime | Print LLM-ready instructions for using the Customer.io API. ALWAYS call this first in a new task — it contains the authoritative, version-specific rules for how to drive the API via the other cio_* tools. |
| `CUSTOMERIO_MCP_CIO_READ_API` | Cio read api | Read from the Customer.io API (GET only). Use cio_schema first to find the correct path and placeholders. Workspace routing is enforced server-side via the caller's OAuth token. |
| `CUSTOMERIO_MCP_CIO_SCHEMA` | Cio schema | Introspect the Customer.io API schema. Use this to discover endpoints before calling cio_read_api / cio_write_api / cio_delete_api — never guess paths or field names. Pass no query to list resources; pass a resource name ('campaigns') to list its endpoints; pass 'resource.method' ('campaigns.list'), 'METHOD /path', or '/path' for endpoint detail. |
| `CUSTOMERIO_MCP_CIO_SKILLS_LIST` | Cio skills list | List available agent skills — task-specific instruction manuals maintained by Customer.io (routing rules, required params, multi-step workflows). |
| `CUSTOMERIO_MCP_CIO_SKILLS_READ` | Cio skills read | Read the full content of a specific agent skill. Paths look like 'campaigns' for the main skill or 'campaigns/examples.md' for a sub-file — see cio_skills_list for available paths. |
| `CUSTOMERIO_MCP_CIO_WRITE_API` | Cio write api | Write to the Customer.io API (POST, PUT, or PATCH). Always run with dry_run first to preview. Use cio_schema to find the correct path, method, and body shape. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Customer.io MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Customer.io MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'YOUR_SPECIFIC_PROMPT_HERE'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Customer.io MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Customer.io MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('YOUR_SPECIFIC_PROMPT_HERE')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Customer.io MCP Integration

- Supports both Customer.io MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Customer.io MCP data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Customer.io MCP access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Customer.io MCP
- Scoped, least privilege access to Customer.io MCP resources
- Full audit trail of agent actions to support review and compliance

## Use Customer.io MCP with any AI Agent Framework

Choose a framework you want to connect Customer.io MCP with:

- [ChatGPT Work](https://composio.dev/toolkits/customerio_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/customerio_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/customerio_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### Do I need my own developer credentials to use Customer.io MCP with Composio?

Yes, Customer.io MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

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