# How to integrate Gatherup MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Gatherup MCP with OpenAI Agents SDK",
  "toolkit": "Gatherup",
  "toolkit_slug": "gatherup",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/gatherup/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/gatherup/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:12:35.596Z"
}
```

## Introduction

This guide walks you through connecting Gatherup to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Gatherup agent that can send feedback request to recent customer, retrieve details for a specific business, search for business using custom field through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Gatherup account through Composio's Gatherup MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Gatherup with

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

The Gatherup MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gatherup account. It provides structured and secure access to your customer feedback and business review data, so your agent can perform actions like fetching customer and business details, sending feedback requests, searching businesses, and managing business profiles on your behalf.
- Send automated feedback requests: Have your agent send personalized feedback invitations to customers right after an interaction, streamlining your review gathering process.
- Retrieve business and customer details: Instantly pull up specific business locations or customer profiles using IDs for quick reference and reporting.
- Search business locations efficiently: Let your agent find businesses by custom fields or extra attributes, making it easy to manage multiple locations or franchises.
- Manage business records securely: Direct your agent to delete business locations or update details after validating credentials and signatures.
- Access and filter business types: Enable your agent to fetch available business type identifiers for accurate categorization and reporting.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GATHERUP_DELETE_BUSINESS` | Delete GatherUp Business | Permanently deletes a business location from GatherUp. This is a destructive operation that cannot be undone. **When to use**: Remove business locations that are no longer needed or were created in error. **Important**: Verify the businessId before deletion. Check errorCode in response: 0=success, non-zero=error. |
| `GATHERUP_FIND_AGENCY_CLIENT_ID` | Find GatherUp Agency Client ID | Find the client ID for a specific business in GatherUp agency accounts. This tool retrieves the numeric client identifier associated with a business location. Use this when you need to look up the client ID for agency-level operations or business management. |
| `GATHERUP_GET_BUSINESS` | Get GatherUp Business | Retrieve detailed information about a specific GatherUp business location. Returns comprehensive business data including: name, contact details (phone, address), timezone, business type, subscription package, communication settings, engagement metrics (NPS score, feedback counts), and marketing assets (logos, banners, feedback URLs). Prerequisites: - Use GATHERUP_SEARCH_BUSINESS if you need to find a businessId by customField/extraField |
| `GATHERUP_GET_BUSINESS_TYPES` | Get GatherUp Business Types | Retrieves the list of available business categories from GatherUp (e.g., Restaurant, Hotel, Dental Office). Use this to: - Get valid business type IDs for creating new businesses - Discover available business categories in GatherUp - Filter business types by search term (optional) |
| `GATHERUP_GET_CUSTOMER` | Get GatherUp Customer | Retrieves detailed information about a specific customer from GatherUp by their customer ID. Use this action to get customer details including name, email, phone, rating, feedback status, and other customer-related information. Common use cases: - Retrieve customer contact information before sending feedback requests - Check customer's current rating and feedback status - Verify customer subscription status (unsubscribed flag) - Get customer creation date and associated business details Error codes: 0=success, 2=invalid clientId, 3=server error, 44=customer not found Endpoint: POST https://app.gatherup.com/api/customer/get |
| `GATHERUP_GET_WIDGET_HTML` | Get Widget HTML | Retrieve pre-formatted widget or badge HTML code with schema.org structure and SEO-friendly content. Returns ready-to-embed HTML code that displays customer reviews or badges on your website. The HTML includes structured data markup for better search engine visibility. Prerequisites: - Use GATHERUP_SEARCH_BUSINESS if you need to find a businessId |
| `GATHERUP_SEARCH_BUSINESS` | Search GatherUp Business by Custom Identifier | Search for a GatherUp business location by custom identifier and retrieve its business ID. This tool locates business locations using user-defined identifiers (customField or extraField) that you've assigned in GatherUp. Returns the businessId on success (errorCode=0), or an error code with message on failure. Common error codes: 2=Invalid clientId, 25=Business not found, 26=Invalid search type Endpoint: POST /api/business/search |
| `GATHERUP_SEND_CUSTOMER_FEEDBACK` | Send GatherUp Customer Feedback | Send a feedback request to a customer to collect their rating and review. Use this when you want to automatically request feedback after a customer interaction or transaction. Ensure the customer exists in your GatherUp account and hasn't unsubscribed from feedback requests. |
| `GATHERUP_SET_USER_PASSWORD` | Set GatherUp User Password | Sets a new password for an existing user in GatherUp. Use this action to update user credentials securely. **Prerequisites**: - Valid userId (user must exist in your GatherUp account) - Password must meet security requirements: minimum 12 characters, at least one uppercase letter and one number **When to use**: Update user passwords for security purposes or user account management. Check errorCode in response: 0=success, non-zero=error. See errorMessage for details. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

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

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

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

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

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