# How to integrate Sendfox MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Sendfox MCP with OpenAI Agents SDK",
  "toolkit": "Sendfox",
  "toolkit_slug": "sendfox",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/sendfox/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/sendfox/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:25:16.583Z"
}
```

## Introduction

This guide walks you through connecting Sendfox to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Sendfox agent that can list all active campaigns this week, unsubscribe a contact by email address, retrieve all contacts from your main list through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Sendfox account through Composio's Sendfox MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Sendfox with

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

The Sendfox MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sendfox account. It provides structured and secure access to your contact lists, campaigns, automations, and more, so your agent can fetch contacts, manage lists, retrieve campaign data, and automate subscriber actions on your behalf.
- Contact management and lookup: Instantly retrieve contact details by email or ID, fetch all contacts, or discover specific fields to personalize your outreach.
- List organization and updates: Ask your agent to fetch all your Sendfox lists, get details for a specific list, or remove contacts from lists as needed.
- Campaign and automation insights: Effortlessly retrieve paginated lists of campaigns or automations, so you can stay on top of your email marketing performance.
- Subscription and unsubscribe actions: Let your agent globally unsubscribe a contact or handle opt-outs automatically for better list hygiene.
- Discover contact field metadata: Pull all available contact fields to help with dynamic contact creation or targeted updates.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SENDFOX_DELETE_CONTACT_FROM_LIST` | Delete Contact from List | Tool to remove a contact from a specific list in SendFox. Use when you need to disassociate a contact from a list without deleting the contact entirely. The contact will remain in your account but will no longer be a member of the specified list. |
| `SENDFOX_GET_AUTOMATIONS` | Get Automations | Tool to retrieve a list of automations. Use when you need to list all automations for your SendFox account. |
| `SENDFOX_GET_CAMPAIGN_BY_ID` | Get Campaign by ID | Retrieve details for a specific campaign by its ID from SendFox. Use this when you need to fetch information about a particular campaign. Returns campaign details including title, subject, HTML content, sender info, and scheduling details. |
| `SENDFOX_GET_CAMPAIGNS` | Get Campaigns | Retrieve a paginated list of email campaigns from SendFox. Use this to fetch all campaigns or navigate through pages of results. Returns campaign details including status, subject, content, and timestamps. |
| `SENDFOX_GET_CONTACT_BY_ID` | Get Contact by ID | Retrieves a contact's details by their unique ID from SendFox. Use this tool when you need to look up a specific contact's information after obtaining their ID from a contact list or other API response. Returns contact details including email, name, subscription status, and list memberships. |
| `SENDFOX_GET_CONTACT_FIELDS` | Get Contact Fields | Retrieves all contact fields available in the SendFox account. Use this to discover available fields before creating or updating contacts. Returns standard fields (email, first_name, last_name) and any custom fields configured in the account. |
| `SENDFOX_GET_CONTACTS` | Get Contacts | Tool to retrieve a paginated list of contacts. Use when you need to fetch contacts in pages, optionally filtering by email. |
| `SENDFOX_GET_CONTACTS_IN_LIST` | Get Contacts in List | Tool to retrieve contacts in a specific list. Use when you need to fetch all contacts belonging to a particular list, optionally filtering by search query. |
| `SENDFOX_GET_CURRENT_USER` | Get Current User | Tool to retrieve information about the authenticated user from SendFox. Returns user details including name, email, contact count, and contact limit. Use this tool when you need to check account information or verify authentication status. |
| `SENDFOX_GET_FORMS` | Get Forms | Tool to retrieve a paginated list of forms from SendFox. Use when you need to fetch all forms or search for specific forms by query. |
| `SENDFOX_GET_LIST_BY_ID` | Get List by ID | Retrieves details of a specific contact list by its ID from SendFox. Use this tool when you need information about a particular list (name, contact count, timestamps). Requires a valid list_id which can be obtained from the 'Get Lists' action. |
| `SENDFOX_GET_LISTS` | Get Lists | Retrieve all contact lists from your SendFox account with pagination support. Use this tool when you need to: - Fetch all available contact lists for your account - Get list IDs to use with other SendFox actions (e.g., adding contacts to lists) - Check list names and browse through paginated results Returns a list of contact lists with their IDs and names, along with pagination metadata. |
| `SENDFOX_LIST_CONTACT_FIELDS` | List Contact Fields | Tool to list all custom contact fields defined by the user. Returns a paginated list of contact fields with their IDs, names, and timestamps. |
| `SENDFOX_LIST_UNSUBSCRIBED_CONTACTS` | List Unsubscribed Contacts | Tool to retrieve a paginated list of contacts who have unsubscribed. Use when you need to fetch unsubscribed contacts, optionally filtering by search query. |
| `SENDFOX_PATCH_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Unsubscribe a contact from all email communications in your SendFox account. Use this tool when you need to: - Globally unsubscribe a contact from all future emails - Honor unsubscribe requests from subscribers - Mark a contact as opted-out The contact will be marked as unsubscribed but remains in your contacts database. This is a permanent action - the contact will not receive any future campaigns. |
| `SENDFOX_POST_CREATE_CONTACT` | Create Contact | Create a new contact (subscriber) in your SendFox account. Use this tool when you need to: - Add a new subscriber to your email list - Create a contact with optional first/last name - Add a contact to one or more specific lists If the contact already exists, their information will be updated with the provided data. |
| `SENDFOX_POST_CREATE_LIST` | Create List | Create a new contact list in your SendFox account. Use this tool when you need to: - Create a new mailing list for organizing contacts - Set up a list before adding subscribers to it - Segment your audience by creating topic-specific lists The list will be created with 0 contacts initially. After creation, use other SendFox actions to add contacts to this list. Returns the created list's ID, name, and metadata. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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- [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.
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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 Sendfox MCP?

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

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

Yes, absolutely. You can configure which Sendfox 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 Sendfox 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)