# How to integrate Moz MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Moz MCP with OpenAI Agents SDK",
  "toolkit": "Moz",
  "toolkit_slug": "moz",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/moz/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/moz/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:19:33.765Z"
}
```

## Introduction

This guide walks you through connecting Moz to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Moz agent that can find top keywords for competitor site, audit your website for seo issues, track daily ranking of target keyword through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Moz account through Composio's Moz MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Moz with

- [Claude Agent SDK](https://composio.dev/toolkits/moz/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/moz/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/moz/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/moz/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/moz/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/moz/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/moz/framework/cli)
- [Google ADK](https://composio.dev/toolkits/moz/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/moz/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/moz/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/moz/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/moz/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/moz/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 Moz
- Configure an AI agent that can use Moz as a tool
- Run a live chat session where you can ask the agent to perform Moz 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 Moz MCP server, and what's possible with it?

The Moz MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Moz account. It provides structured and secure access to your Moz SEO suite, so your agent can perform actions like running keyword research, auditing sites, tracking keyword rankings, and analyzing competitors on your behalf.
- Keyword research and suggestions: Instantly have your agent uncover high-potential keywords, analyze search volumes, and recommend keyword opportunities for your site or content strategy.
- Comprehensive site audits: Let your agent scan your website for technical SEO issues, reporting on errors, warnings, and actionable improvements to boost search visibility.
- Rank tracking and performance monitoring: Ask your agent to monitor keyword rankings over time, highlight position changes, and spot opportunities or threats in your SEO landscape.
- Competitor domain analysis: Empower your agent to evaluate competitor sites, compare backlink profiles, and uncover gaps or strengths for strategic planning.
- Backlink and authority insights: Retrieve detailed link metrics, domain authority scores, and identify valuable backlink opportunities or potentially harmful links.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MOZ_FETCH_METADATA_INDEX` | Fetch Metadata Index | Tool to fetch current index metadata from Moz via JSON-RPC. Returns an index ID that changes when the data in the index is updated. Use when you need to track index updates or verify the current index state. |
| `MOZ_FETCH_SITE_METRICS` | Fetch Site Metrics | Tool to fetch site metrics from Moz including Domain Authority, Page Authority, Spam Score, and link counts. Use when you need SEO metrics for a domain or specific URL. Returns comprehensive link and authority data. |
| `MOZ_GET_GLOBAL_TOP_ROOT_DOMAINS` | Get Global Top Root Domains | Tool to get the top 500 root domains across the entire web index sorted by Domain Authority. Returns the highest authority domains globally with Domain Authority, Spam Score, and linking domains count. Use when you need to identify the most authoritative domains on the web. |
| `MOZ_GET_USAGE_DATA` | Get API Usage Data | Tool to get API usage data including the number of rows consumed. Use when you need to track API usage for a specific time range or the current billing period. |
| `MOZ_GLOBAL_TOP_PAGES` | Get Global Top Pages | Tool to fetch global top pages from Moz. Use when you need a paginated list of highest authority pages. |
| `MOZ_INDEX_METADATA` | Get Index Metadata | Tool to fetch link index metadata from Moz. Use when you need the current index ID (which changes when the index updates) and the dates of Spam Score model updates. Use after authenticating with Moz API. |
| `MOZ_LINK_STATUS` | Check Link Status | Tool to check if source URLs link to a target URL. Use when you need to verify inbound links from multiple sources to a target. |
| `MOZ_LIST_GLOBAL_TOP_DOMAINS` | Get Global Top Domains | Tool to get the top ranking domains globally based on Domain Authority. Use when you need the highest authority domains in the entire Moz index. |
| `MOZ_LIST_GLOBAL_TOP_PAGES` | List Global Top Pages (JSON-RPC) | Tool to fetch global top ranking pages from Moz using JSON-RPC API. Use when you need to retrieve the highest Page Authority pages in the entire Moz index. |
| `MOZ_LOOKUP_QUOTA` | Lookup Quota Information | Tool to lookup API quota information including remaining rows, quota limits, and usage across different quota types. Use when you need to check current quota status without consuming quota. |
| `MOZ_POST_TOP_PAGES` | Get Top Pages | Tool to fetch the top pages on a target domain from Moz. Top pages are identified as pages with the most external links. Use when you need a list of high-authority pages on a specific domain or subdomain, sorted by Page Authority or other metrics. |
| `MOZ_USAGE_DATA` | Get Usage Data | Tool to fetch API usage and quota details from Moz. Use when you need to monitor current plan, quota usage, and rate limits. |

## Supported Triggers

None listed.

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

The Moz MCP server is an implementation of the Model Context Protocol that connects your AI agent to Moz. It provides structured and secure access so your agent can perform Moz 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 Moz 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 Moz.
```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 moz.
- The router checks the user's Moz connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Moz.
- This approach keeps things lightweight and lets the agent request Moz tools only when needed during the conversation.
```python
# Create a Moz Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["moz"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Moz
const session = await composio.create(userId as string, {
  toolkits: ['moz'],
});
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 Moz. "
        "Help users perform Moz 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 Moz. Help users perform Moz 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=["moz"]
)
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 Moz. "
        "Help users perform Moz 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: ['moz'],
  });
  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 Moz. Help users perform Moz 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 Moz MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Moz.
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 Moz MCP Agent with another framework

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

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- [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.
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- [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 Moz MCP?

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

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

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

---
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