other

Giphy

magarcia

by magarcia

Easily search, retrieve, and use gifs and gif gifs from Giphy. Enhance your AI models with quality gifs and animated con

Allows AI models to search, retrieve, and utilize GIFs from Giphy.

github stars

28

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Content rating filtersMultiple search methodsFull GIF metadata included

best for

  • / Chat applications needing GIF responses
  • / Content creation workflows
  • / Social media automation
  • / Interactive entertainment apps

capabilities

  • / Search Giphy for GIFs by keyword
  • / Get random GIFs with optional tags
  • / Fetch trending GIFs
  • / Filter results by content rating
  • / Retrieve GIF metadata and formats

what it does

Connects to Giphy's API to search for GIFs, get random GIFs, or fetch trending ones. Includes content filtering and metadata for each GIF.

about

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.

how to install

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.

license

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.

readme

MCP Server Giphy

CI npm version npm downloads License: MIT

MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy.

Features

  • Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content
  • Optimized Response Format: Response data optimized for AI model consumption
  • Multiple Search Methods: Support for query-based, random, and trending GIF retrieval
  • Comprehensive Metadata: Each GIF comes with full metadata including dimensions, formats, and attribution
  • Pagination Support: Control result size and pagination for efficient API use

Tools

  1. search_gifs

    • Search for GIFs on Giphy with a query string
    • Inputs:
      • query (string): Search query term or phrase
      • 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)
      • lang (optional string): Language code (default: en)
    • Returns: Array of GIF objects with metadata
  2. get_random_gif

    • Get a random GIF from Giphy, optionally filtered by tag
    • Inputs:
      • tag (optional string): Tag to limit random results
      • rating (optional string): Content rating (g, pg, pg-13, r)
    • Returns: Random GIF object with metadata
  3. get_trending_gifs

    • Get currently trending GIFs on Giphy
    • Inputs:
      • 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)
    • Returns: Array of trending GIF objects with metadata

Response Format

Each GIF in the response includes:

  • id: Unique Giphy identifier
  • title: GIF title
  • url: URL to the GIF on Giphy website
  • images: Object containing various image formats, each with:
    • url: Direct URL to the image file
    • width: Image width
    • height: Image height
  • Additional metadata when available

Setup

Giphy API Key

Create a Giphy API Key:

  • Sign up for a Giphy Developer account
  • Create an app to get an API key
  • Choose between the free tier or paid options based on your needs

Environment Configuration

Create a .env file with your API key:

GIPHY_API_KEY=your_api_key_here

Usage with Claude Desktop

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>"
      }
    }
  }
}

Development

# 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

License

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.

FAQ

What is the Giphy MCP server?
Giphy is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Giphy?
This profile displays 47 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.647 reviews
  • Diya Mehta· Dec 28, 2024

    Giphy has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Mei Haddad· Dec 24, 2024

    Strong directory entry: Giphy surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Michael Khan· Dec 20, 2024

    According to our notes, Giphy benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Diya Malhotra· Dec 20, 2024

    I recommend Giphy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Ishan Martinez· Dec 12, 2024

    Giphy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Chinedu Okafor· Nov 15, 2024

    Useful MCP listing: Giphy is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Emma Jackson· Nov 11, 2024

    Giphy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mei Khan· Nov 3, 2024

    I recommend Giphy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Mei Huang· Oct 22, 2024

    Strong directory entry: Giphy surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ishan Choi· Oct 6, 2024

    Giphy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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