Pollinations
About
Provides text-to-audio API capabilities for dynamic audio generation through a TypeScript-based server implementation, enabling developers to create programmatic audio experiences.
Details
- Author
- bendusy
- Repository
- bendusy/pollinations-mcp
- GitHub stars
- 4
- License
- Apache License 2.0
- Categories
- Developer Tools, AI, Other, Design, Media, API, Frontend, Infrastructure
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
PollinationsCommand (node, npx, python, etc.)nodeArguments-
Argument 1
完整路径/到您的/pollinations-mcp/dist/index.js
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
generate_image
使用Pollinations.ai生成图像并返回URL。参数：prompt (必需): 图像描述提示词, width (可选): 图像宽度（像素），默认为1024, height (可选): 图像高度（像素），默认为1024, seed (可选): 随机种子值（用于生成一致的图像）, model (可选): 要使用的模型，默认为'flux', nologo (可选): 设置为true可去除水印，默认为true, enhance (可选): 提高图像质量（应用增强滤镜），默认为false, safe (可选): 启用安全过滤（过滤不适内容），默认为false, private (可选): 设置为true可使图像私有（不在公共feed中显示），默认为false
download_image
下载Pollinations.ai生成的图像到本地文件。参数：url (必需): 要下载的图像URL, output_path (可选): 保存图像的路径（包括文件名），默认为'image.jpg'
generate_text
使用Pollinations.ai生成文本。参数：prompt (必需): 文本提示词, model (可选): 要使用的模型（如openai、mistral等），默认为'openai', seed (可选): 随机种子值（用于生成一致的结果）, system (可选): 系统提示词（设置AI行为）, json (可选): 是否返回JSON格式的响应，默认为false, private (可选): 设置为true可使响应私有，默认为false
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"pollinations": {
"command": "node",
"args": [
"\u5b8c\u6574\u8def\u5f84/\u5230\u60a8\u7684/pollinations-mcp/dist/index.js"
],
"env": {},
"cwd": "optional",
"shell": false
}
}
}Macos
{
"command": "node",
"args": [
"\u5b8c\u6574\u8def\u5f84/\u5230\u60a8\u7684/pollinations-mcp/dist/index.js"
],
"env": [],
"cwd": "optional",
"shell": false
}Windows
{
"command": "node",
"args": [
"C:\\Users\\\u7528\u6237\u540d\\\u8def\u5f84\\\u5230\\pollinations-mcp\\dist\\index.js"
],
"env": [],
"cwd": "optional",
"shell": false
}Linux
{
"command": "node",
"args": [
"\u5b8c\u6574\u8def\u5f84/\u5230\u60a8\u7684/pollinations-mcp/dist/index.js"
],
"env": [],
"cwd": "optional",
"shell": false
}Generate images and text using the Pollinations.ai API.
这是一个基于Model Context Protocol (MCP)的服务器实现，用于连接Pollinations.ai服务的API接口。该服务器允许AI模型通过MCP协议调用Pollinations.ai的图像和文本生成功能。
- 支持通过MCP协议与Pollinations.ai服务交互
- 提供三个主要工具：
- generate_image: 使用Pollinations.ai生成图像并返回URL（默认无水印）
- download_image: 下载生成的图像到本地文件
- generate_text: 使用Pollinations.ai生成文本
git clone https://github.com/bendusy/pollinations-mcp.git cd pollinations-mcp
注意：目前在Cursor中配置此服务器可能不会成功。如果您需要使用此功能，建议使用Cline（见下文）。
Cline是一个支持MCP协议的AI终端，可以成功使用本服务器提供的图像生成功能。设置步骤如下：
- Windows:%APPDATA%\Cline\config.json
- Mac:~/Library/Application Support/Cline/config.json
- Linux:~/.config/Cline/config.json
"mcpServers": { "pollinations-mcp": { "command": "node", "args": [ "完整路径/到您的/pollinations-mcp/dist/index.js" ], "disabled": false, "autoApprove": [ "download_image", "generate_image", "generate_text" ] } }
"mcpServers": { "pollinations-mcp": { "command": "node", "args": [ "C:\\Users\\用户名\\路径\\到\\pollinations-mcp\\dist\\index.js" ], "disabled": false, "autoApprove": [ "download_image", "generate_image", "generate_text" ] } }
- 保存配置文件并重启Cline
- 现在您可以在Cline中使用Pollinations图像生成功能了，例如：
使用Pollinations生成图像：beautiful sunset over ocean with palm trees
- prompt(必需): 图像描述提示词
- width(可选): 图像宽度（像素），默认为1024
- height(可选): 图像高度（像素），默认为1024
- seed(可选): 随机种子值（用于生成一致的图像）
- model(可选): 要使用的模型，默认为'flux'
- nologo(可选): 设置为true可去除水印，默认为true
- enhance(可选): 提高图像质量（应用增强滤镜），默认为false
- safe(可选): 启用安全过滤（过滤不适内容），默认为false
- private(可选): 设置为true可使图像私有（不在公共feed中显示），默认为false
- 尽量使用英文编写提示词，Pollinations.ai对英文的理解更好
- 保持提示词简短精确，避免过长或模糊的描述
- 使用具体的形容词和名词，而非抽象概念
- 例如："beautiful sunset over ocean with palm trees"比"一张日落的图片"效果更好
- url(必需): 要下载的图像URL
- output_path(可选): 保存图像的路径（包括文件名），默认为'image.jpg'
- prompt(必需): 文本提示词
- model(可选): 要使用的模型（如openai、mistral等），默认为'openai'
- seed(可选): 随机种子值（用于生成一致的结果）
- system(可选): 系统提示词（设置AI行为）
- json(可选): 是否返回JSON格式的响应，默认为false
- private(可选): 设置为true可使响应私有，默认为false
本项目使用Pollinations.ai的官方API。完整的API文档请参考：Pollinations API文档
基本格式：https://image.pollinations.ai/prompt/{prompt}?{参数}
https://image.pollinations.ai/prompt/beautiful%20sunset?width=1024&height=1024&nologo=true
- flux(默认): 主流文生图模型，功能全面
- variation: 图像变体生成
- dreamshaper: 梦幻风格
- anything: 动漫风格图像
- pixart: 高质量插图风格
基本格式：https://text.pollinations.ai/{prompt}?{参数}
https://text.pollinations.ai/Tell%20me%20about%20artificial%20intelligence?model=openai
- openai(默认): OpenAI模型
- mistral: Mistral模型
- gemini: Google Gemini模型
- src/index.ts: 主服务器实现
- dist/: 编译后的JavaScript文件
- package.json: 项目配置和依赖
- @modelcontextprotocol/sdk: MCP协议SDK
- axios: HTTP客户端，用于下载图像
- typescript: TypeScript编译器
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