# How to integrate Giphy MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Giphy MCP with OpenAI Agents SDK",
  "toolkit": "Giphy",
  "toolkit_slug": "giphy",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/giphy/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/giphy/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:12:59.307Z"
}
```

## Introduction

This guide walks you through connecting Giphy to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Giphy agent that can find trending cat gifs for today, get sticker variations for smile emoji, list gifs in the 'reactions' category through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Giphy account through Composio's Giphy MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Giphy with

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

The Giphy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Giphy account. It provides structured and secure access to the world’s largest GIF and sticker library, so your agent can search for GIFs, fetch trending categories, retrieve GIF metadata, and even track analytics on user interactions automatically.
- GIF and sticker search and retrieval: Instantly have your agent fetch GIFs and stickers by ID, category, or emoji for any topic or mood you need.
- Browse trending categories and curated content: Let your agent pull the latest GIF categories and browse curated collections to suggest the perfect GIF for any occasion.
- Access detailed GIF and sticker metadata: Retrieve comprehensive information about specific GIFs, stickers, or even groups of items by their unique IDs.
- Emoji and sticker variation discovery: Explore emoji GIFs and their creative variations, making it easy to add fun reactions or flair to your app or chat.
- User interaction analytics logging: Track and register when users view, click, or share GIFs, enabling smarter personalization and reporting within your workflows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GIPHY_ACTION_REGISTER` | Giphy Analytics Register | Tool to register user interactions (view, click, send) with a GIF for analytics. Use when you have the analytics payload, timestamp, and user ID to record the event. |
| `GIPHY_CATEGORIES` | GIPHY Categories | Tool to fetch a list of GIF categories on GIPHY. Use when you need to browse available categories before selecting one. |
| `GIPHY_CATEGORY_BY_ID` | GIPHY: Get Category by ID | Tool to fetch metadata for a GIF category by its unique ID. Use when you need details for a specific category identifier. |
| `GIPHY_CATEGORY_GIFS` | GIPHY: Category GIFs | Tool to fetch GIFs associated with a specific GIF category. Use after retrieving category_id from the categories endpoint to get curated GIFs. |
| `GIPHY_EMOJI` | GIPHY Emoji | Tool to fetch GIPHY emoji GIF objects. Use when you need a paginated list of GIPHY emojis. |
| `GIPHY_EMOJI_VARIATIONS` | Emoji Variations | Tool to fetch variations for a specific emoji. Use when you have an emoji's GIF ID and want its variations. |
| `GIPHY_GET_CONTENT_BY_ID` | Get Content by ID | Tool to fetch content metadata by its unique ID. Generalizes the Get GIF by ID endpoint for all content types (GIFs, Stickers, and Clips). |
| `GIPHY_GET_CONTENT_BY_IDS` | Get Content by IDs | Tool to fetch metadata for multiple pieces of content (GIFs, Stickers, or Clips) by their IDs. Use when you need information on up to 100 known content IDs across any GIPHY content type. |
| `GIPHY_GET_RANDOM_ID` | Giphy Get Random ID | Tool to generate a unique random ID from Giphy. Use when you need to create a unique identifier for a new user that can be used with other Giphy endpoints to personalize API responses. |
| `GIPHY_RANDOM_GIF` | Giphy Random GIF | Tool to fetch a random GIF from Giphy. Use when you need a single random GIF, optionally filtered by tag or rating. Example: 'Get a random cat GIF rated G.' |
| `GIPHY_RANDOM_STICKER` | Giphy Random Sticker | Tool to fetch a single random sticker. Use when you need a random sticker, optionally filtered by tag or rating. |
| `GIPHY_SEARCH_CHANNELS` | GIPHY: Search Channels | Tool to search for GIPHY channels by query term. Use when you need to find channels matching a specific topic or keyword. |
| `GIPHY_SEARCH_GIFS` | GIPHY: Search GIFs | Tool to search GIPHY's GIF library. Use when you need to find GIFs by keyword or phrase. |
| `GIPHY_SEARCH_STICKERS` | GIPHY: Search Stickers | Tool to search GIPHY's sticker library. Use when you need to find stickers by keyword or phrase. |
| `GIPHY_TAG_RANDOM` | GIPHY: Random Tag | Tool to fetch a single random tag from Giphy. Use when you need a random search term tag, optionally filtered by a query term. |
| `GIPHY_TAG_RELATED` | Get Related Tags | Tool to fetch tags related to a specified tag. Use when you want to find semantically related tags for improved search suggestion. |
| `GIPHY_TAG_SEARCH` | GIPHY: Tag Search | Tool to search GIPHY's tag library for autocomplete suggestions. Use when you need to generate tag suggestions for a user query. |
| `GIPHY_TAG_TRENDING` | GIPHY Trending Tags | Tool to fetch the most popular search terms (tags) on GIPHY. Use when you need trending tags for content discovery. |
| `GIPHY_TRANSLATE_GIF` | GIPHY Translate GIF | Tool to translate a term or phrase into a single GIF using GIPHY's special algorithm. Use when you need to convert words into the perfect GIF representation. |
| `GIPHY_TRANSLATE_STICKER` | GIPHY Translate Sticker | Tool to translate a term or phrase into a single sticker using GIPHY’s translation algorithm. Use after confirming the exact phrase to visualize as a sticker. |
| `GIPHY_TRENDING_GIFS` | GIPHY Trending GIFs | Tool to fetch trending GIFs from GIPHY. Use when you need the most relevant and engaging GIFs currently trending. |
| `GIPHY_TRENDING_STICKERS` | Get Trending Stickers | Tool to fetch trending stickers. Use when you need the most relevant and engaging sticker GIFs currently trending. |
| `GIPHY_UPLOAD_GIF` | Giphy Upload GIF | Tool to upload a GIF or video file to GIPHY. Use when you need to create a new GIPHY entry from a local file or public URL. Requires developer API key and supports optional metadata. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

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- [Chatfai](https://composio.dev/toolkits/chatfai) - Chatfai is an AI platform that lets users talk to AI versions of fictional characters from books, movies, and games. It offers an engaging, interactive experience for fans to chat, roleplay, and explore creative dialogues.
- [Cincopa](https://composio.dev/toolkits/cincopa) - Cincopa is a multimedia platform for uploading, managing, and customizing videos, images, and audio. It helps you deliver engaging media experiences with robust APIs and flexible integrations.
- [Dungeon fighter online](https://composio.dev/toolkits/dungeon_fighter_online) - Dungeon Fighter Online (DFO) is an arcade-style, side-scrolling action RPG packed with dynamic combat and progression. Play solo or with friends to battle monsters, complete quests, and upgrade your characters.
- [Elevenlabs](https://composio.dev/toolkits/elevenlabs) - Elevenlabs is an advanced AI voice generation platform for lifelike, multilingual speech synthesis. Perfect for creating natural voices for videos, apps, and business content in seconds.
- [Elevenreader](https://composio.dev/toolkits/elevenreader) - Elevenreader is an AI-powered text-to-speech service by ElevenLabs that converts written content into lifelike audio. It enables fast, natural audio generation from any text.
- [Epic games](https://composio.dev/toolkits/epic_games) - Epic Games is a leading video game publisher and digital storefront, known for Fortnite and Unreal Engine. It lets gamers access, manage, and purchase games all in one place.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Headout](https://composio.dev/toolkits/headout) - Headout is a global platform for booking travel experiences, tours, and entertainment. It helps users discover and secure activities at top destinations, all in one place.
- [Imagekit io](https://composio.dev/toolkits/imagekit_io) - ImageKit.io is a cloud-based media management platform for image and video delivery. Instantly optimize, transform, and deliver visuals globally via a lightning-fast CDN.
- [Listennotes](https://composio.dev/toolkits/listennotes) - Listennotes is a powerful podcast search engine with a massive global database. Discover, search, and curate podcasts from around the world in seconds.
- [News api](https://composio.dev/toolkits/news_api) - News api is a REST API for searching and retrieving live news articles from across the web. Instantly access headlines, coverage, and breaking stories from thousands of sources.
- [RAWG Video Games Database](https://composio.dev/toolkits/rawg_video_games_database) - RAWG Video Games Database is the largest video game discovery and info service. Instantly access comprehensive details, ratings, and release dates for thousands of games.
- [Seat geek](https://composio.dev/toolkits/seat_geek) - SeatGeek is a live event platform offering APIs for concerts, sports, and theater data. Instantly access events, venues, and performers info for smarter ticketing and discovery.
- [Shotstack](https://composio.dev/toolkits/shotstack) - Shotstack is a cloud platform for programmatically generating videos, images, and audio. Automate creative content production at scale with flexible RESTful APIs.
- [Spotify](https://composio.dev/toolkits/spotify) - Spotify is a streaming service for music and podcasts with millions of tracks from artists worldwide. Enjoy personalized playlists, recommendations, and seamless listening across all your devices.
- [Ticketmaster](https://composio.dev/toolkits/ticketmaster) - Ticketmaster is a global platform for event discovery, ticket sales, and live entertainment management. Get real-time access to events and streamline ticketing for fans and organizers.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

## Frequently Asked Questions

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

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

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

Yes, absolutely. You can configure which Giphy 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 Giphy 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)