# How to integrate Giphy MCP with CrewAI ```json { "title": "How to integrate Giphy MCP with CrewAI", "toolkit": "Giphy", "toolkit_slug": "giphy", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/giphy/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/giphy/framework/crew-ai.md", "updated_at": "2026-05-12T10:12:59.307Z" } ``` ## Introduction This guide walks you through connecting Giphy to CrewAI 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 CrewAI 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 - [OpenAI Agents SDK](https://composio.dev/toolkits/giphy/framework/open-ai-agents-sdk) - [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) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Giphy connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Giphy - Build a conversational loop where your agent can execute Giphy operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## 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: - Python 3.9 or higher - A Composio account and API key - A Giphy connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies **What's happening:** - composio connects your agent to Giphy via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Giphy MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Giphy **What's happening:** - You create a Giphy only session through Composio - Composio returns an MCP HTTP URL that exposes Giphy tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["giphy"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["giphy"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Giphy through Composio's Tool Router. The agent can perform Giphy operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Giphy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/giphy/framework/open-ai-agents-sdk) - [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) ## Related Toolkits - [Youtube](https://composio.dev/toolkits/youtube) - YouTube is a leading video-sharing platform for uploading, streaming, and discovering content. It empowers creators and businesses to reach global audiences and monetize their work. - [Amara](https://composio.dev/toolkits/amara) - Amara is a collaborative platform for creating and managing subtitles and captions for videos. It helps make content accessible and multilingual for global audiences. - [Cats](https://composio.dev/toolkits/cats) - Cats is an API with a huge library of cat images, breed data, and cat facts. It makes finding adorable cat photos and trivia effortless for your apps and users. - [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 CrewAI? Yes, you can. CrewAI 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)