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Pixabay MCP Server

by helloHupc
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Python
Remote

Pixabay MCP Server

English | 中文

English

A Model Context Protocol (MCP) server that enables AI assistants to search for images and videos on Pixabay.

Features

  • 🖼️ search_images - Search for photos, illustrations, and vectors

  • 🎬 search_videos - Search for videos and animations

Installation

Method 1: Quick Start with uvx (Recommended)

The easiest way to use this MCP server is with uvx. No manual cloning required!

  1. Get your Pixabay API Key

  2. Add the following to your MCP client configuration:

{ "mcpServers": { "pixabay": { "command": "uvx", "args": [ "https://github.com/helloHupc/pixabay_mcp.git" ], "env": { "PIXABAY_API_KEY": "your-api-key-here" } } } }

  1. Restart your MCP client and start using!

Method 2: Local Development

For development or to customize the code, clone the repository locally:

git clone https://github.com/helloHupc/pixabay_mcp.git cd pixabay_mcp

Then configure your MCP client:

{ "mcpServers": { "pixabay": { "command": "uv", "args": [ "run", "--directory", "/path/to/pixabay_mcp", "python", "src/pixabay_mcp/server.py" ], "env": { "PIXABAY_API_KEY": "your-api-key-here" } } } }

Make sure to replace /path/to/pixabay_mcp with your actual local path.

Get Your API Key

  1. Create a free account at Pixabay

  2. Go to API Documentation and copy your API key

Quick Start

  1. Get your API key from Pixabay

  2. Copy configuration from Method 1 above

  3. Replace with your actual API key

  4. Add to your MCP client settings

  5. Restart your MCP client

  6. Start searching!

Usage Examples

Once configured, you can ask your AI assistant:

  • "Search for photos of yellow flowers"

  • "Find some nature videos"

  • "Look for vector illustrations of cats"

Project Structure

pixabay_mcp/ ├── src/ │ └── pixabay_mcp/ │ ├── __init__.py │ └── server.py # Main MCP server implementation ├── pyproject.toml # Project configuration ├── uv.lock # Dependency lock file ├── README.md # This file ├── LICENSE # MIT License └── .gitignore # Git ignore rules

License

MIT License

中文

一个 MCP (Model Context Protocol) 服务，让 AI 助手能够在 Pixabay 上搜索图片和视频。

功能

  • 🖼️ search_images - 搜索照片、插画和矢量图

  • 🎬 search_videos - 搜索视频和动画

安装

方法 1：使用 uvx 快速开始（推荐）

最简单的使用方式，使用 uvx 直接从 Gitee 运行，无需手动克隆！

  1. 获取你的 Pixabay API 密钥

  2. 在 MCP 客户端配置中添加以下内容：

{ "mcpServers": { "pixabay": { "command": "uvx", "args": [ "https://github.com/helloHupc/pixabay_mcp.git" ], "env": { "PIXABAY_API_KEY": "你的API密钥" } } } }

  1. 重启 MCP 客户端，开始使用！

方法 2：本地开发调试

用于开发或自定义代码，将仓库克隆到本地：

git clone https://github.com/helloHupc/pixabay_mcp.git cd

然后配置 MCP 客户端：

{ "mcpServers": { "pixabay": { "command": "uv", "args": [ "run", "--directory", "/path/to/pixabay_mcp", "python", "src/pixabay_mcp/server.py" ], "env": { "PIXABAY_API_KEY": "你的API密钥" } } } }

请将 /path/to/pixabay_mcp 替换为你的实际本地路径。

获取 API 密钥

  1. 在 Pixabay 注册免费账号

  2. 访问 API 文档页面 复制你的 API 密钥

快速开始

  1. 从 Pixabay 获取你的 API 密钥

  2. 复制上面方法 1 中的配置

  3. 将 替换为你的实际 API 密钥

  4. 添加到你的 MCP 客户端设置

  5. 重启 MCP 客户端

  6. 开始搜索！

使用示例

配置完成后，你可以这样问 AI 助手：

  • "帮我搜索黄色花朵的图片"

  • "找一些自然风景的视频"

  • "搜索猫咪的矢量插画"

项目结构

pixabay_mcp/ ├── src/ │ └── pixabay_mcp/ │ ├── __init__.py │ └── server.py # MCP 服务器主实现 ├── pyproject.toml # 项目配置文件 ├── uv.lock # 依赖锁定文件 ├── README.md # 本文件 ├── LICENSE # MIT 许可证 └── .gitignore # Git 忽略规则

uv 和 uvx 的区别

uv - 通用 Python 项目管理工具

  • 用于开发、安装包、运行脚本

  • 需要手动管理虚拟环境

  • 适合本地开发和调试

uvx - 快速执行工具

  • 直接从 PyPI 或 Git 仓库运行包

  • 自动管理隔离环境

  • 无需手动安装，开箱即用

  • 适合快速部署和分享

许可证

MIT 许可证

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

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