Giphy MCP Server

Giphy MCP Server

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

Category
访问服务器

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选