Giphy MCP Server

Giphy MCP Server

An MCP server that allows AI agents to search and retrieve GIFs using the Giphy API.

Category
Visit Server

README

Giphy MCP Server

CI PyPI version

An MCP (Model Context Protocol) server that allows AI agents to search and retrieve GIFs using the Giphy API. This provides a rich way for agents to express humor, reactions, or find relevant visual context.

Magic Documentation Book

Prerequisites

Installation

For general use, install the package via pip:

pip install giphy-mcp

For development:

  1. Clone the repository:
    git clone https://github.com/Szatek/giphy-mcp-server.git
    cd giphy-mcp-server
    
  2. Create a virtual environment and install in editable mode:
    python -m venv venv
    # On Windows
    .\venv\Scripts\activate
    # On Linux/macOS
    source venv/bin/activate
    
    pip install -e ".[dev]"
    

Usage

The Giphy MCP Server is designed to be run as a standard IO transport process, which AI agents and MCP clients can spawn.

To start the server:

giphy-mcp run

To see the help menu and configuration options:

giphy-mcp help

Configuration

The server requires a Giphy API Key to function. It reads this from the GIPHY_API_KEY environment variable.

You can configure this by:

  1. Creating a .env file in the project root:
    GIPHY_API_KEY=your_api_key_here
    
  2. Or by passing it directly via your MCP client's configuration.

Available Tools

  • search_gifs
    • Description: Search for GIFs using the Giphy API.
    • Parameters:
      • query (string): The search term to find GIFs for.
      • limit (int, optional): The maximum number of GIFs to return (default: 5).
      • rating (string, optional): Filters results by specified rating (default: 'g').

Example Use Case (Agent Interaction)

When this server is registered with an AI agent (like Claude Desktop or Cursor), the agent can autonomously use it to attach GIFs to its responses.

User: "Can you celebrate that we finally deployed to production?"

Agent (Internal Thought): The user wants to celebrate. A celebratory GIF would be perfect here. I will use the search_gifs tool with the query "celebrate".

Agent (Tool Call):

{
  "name": "search_gifs",
  "arguments": {
    "query": "celebrate",
    "limit": 1
  }
}

Agent (Response): "Woohoo! That's awesome news! Here's a celebratory GIF to match the mood:

celebratory GIF"

Antigravity AI Agent Integration & Skills

This repository includes custom Agent Skills located in the .agents/skills directory designed for the Antigravity AI framework (or other compatible systems).

Included Skills

  • Giphy Chat Enhancer: Instructs your AI agent to embed an appropriate GIF during special conversational events (successes, errors, debugging milestones), injecting a fun, nerdy communication style into your interactions.
  • Giphy Documentation Enhancer: Instructs the agent to proactively embed tasteful Giphy images when generating or updating README.md files and user documentation.

Auto-Installation

The skills are written with internal logic that instructs the AI agent to recognize if it lacks the search_gifs tool. If the tool is missing, the agent will autonomously:

  1. Run pip install giphy-mcp
  2. Configure itself securely by modifying its $HOME/.gemini/antigravity/mcp_config.json configuration file, adding the following snippet:
"mcpServers": {
  "giphy": {
    "command": "giphy-mcp",
    "args": ["run"],
    "env": {
      "GIPHY_API_KEY": "your_api_key_here"
    }
  }
}

Using with built-in MCP Clients

To use this with an MCP client like Claude Desktop, add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "giphy": {
      "command": "giphy-mcp",
      "args": ["run"],
      "env": {
        "GIPHY_API_KEY": "your_api_key_here"
      }
    }
  }
}

Note: You may need to specify the absolute path to the giphy-mcp executable if it's not in your system's PATH.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured