MCP server
by magarcia
Easily search, retrieve, and use gifs and gif gifs from Giphy. Enhance your AI models with quality gifs and animated con
Connects to Giphy's API to search for GIFs, get random GIFs, or fetch trending ones. Includes content filtering and metadata for each GIF.
Giphy is a community-built MCP server published by magarcia that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily search, retrieve, and use gifs and gif gifs from Giphy. Enhance your AI models with quality gifs and animated con It is categorized under other.
You can install Giphy in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Giphy is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Giphy has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Giphy surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Giphy benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Giphy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Giphy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Giphy is the kind of server we cite when onboarding engineers to host + tool permissions.
Giphy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Giphy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Giphy surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Giphy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy.
search_gifs
query (string): Search query term or phraselimit (optional number): Maximum number of objects to return (default: 10, max: 50)offset (optional number): Results offset (default: 0)rating (optional string): Content rating (g, pg, pg-13, r)lang (optional string): Language code (default: en)get_random_gif
tag (optional string): Tag to limit random resultsrating (optional string): Content rating (g, pg, pg-13, r)get_trending_gifs
limit (optional number): Maximum number of objects to return (default: 10, max: 50)offset (optional number): Results offset (default: 0)rating (optional string): Content rating (g, pg, pg-13, r)Each GIF in the response includes:
id: Unique Giphy identifiertitle: GIF titleurl: URL to the GIF on Giphy websiteimages: Object containing various image formats, each with:
url: Direct URL to the image filewidth: Image widthheight: Image heightCreate a .env file with your API key:
GIPHY_API_KEY=your_api_key_here
To use this with Claude Desktop, add the following to your claude_desktop_config.json:
{
"mcpServers": {
"giphy": {
"command": "npx",
"args": ["-y", "mcp-server-giphy"],
"env": {
"GIPHY_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
# Install dependencies
npm install
# Build the project
npm run build
# Start the server
npm start
# Run in development mode with hot reloading
npm run dev
# Run tests
npm test
# Use with MCP Inspector
npm run inspector
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.