ScreenshotOne MCP Server
ScreenshotOne.com - MCP 服务器
该项目提供了一个模型上下文协议 (MCP) 服务器,将 AI 助手连接到ScreenshotOne.com API 以捕获网站的屏幕截图。
可用功能
[x] 对任何 URL 进行截图
[x] 渲染 HTML 内容并截取屏幕截图
[x] 自定义视口大小和设备模拟
[x] 截取整页截图
[x] 使用 CSS 选择器选择特定元素
[x] 多种输出格式(PNG、JPEG、WebP、PDF)
[x] 屏蔽广告、跟踪器和 Cookie 横幅
[x] 注入自定义 CSS 和 JavaScript
[x] 控制等待行为和时间
ScreenshotOne.com
Related MCP server: Webshot MCP
支持的传输
[x] “stdio”传输 - CLI 使用的默认传输
[x]“可流式传输 HTTP”传输 - 适用于基于 Web 的客户端
[ ] 实现身份验证(“授权”标头带有
Bearer <token>)
[ ]
“sse”运输(已弃用)[ ] 编写测试
如何使用
命令行界面
# Take a screenshot of a URL
npm run dev:cli -- take-screenshot --url "https://example.com" --access-key "your-access-key"
# Take a screenshot with custom viewport
npm run dev:cli -- take-screenshot --url "https://example.com" --viewport-width 1920 --viewport-height 1080
# Capture a full page screenshot
npm run dev:cli -- take-screenshot --url "https://example.com" --full-page
# Save the screenshot to a file
npm run dev:cli -- take-screenshot --url "https://example.com" --output screenshot.png
# Block ads and trackers
npm run dev:cli -- take-screenshot --url "https://example.com" --block-ads --block-trackers --block-cookie-banners
# ----------------------------------------------
# UPLOAD SCREENSHOT TO CLOUDFLARE
# REMEMBER TO SET THE ENVIRONMENT VARIABLES
# > See example at ".env.example" file
# ----------------------------------------------
# Take a screenshot and upload it to Cloudflare
npm run dev:cli -- take-screenshot --url https://example.com --upload
# Take a screenshot with a custom filename
npm run dev:cli -- take-screenshot --url https://example.com --upload --upload-filename my-screenshot
# Take a screenshot with upload debugging enabled
npm run dev:cli -- take-screenshot --url https://example.com --upload --upload-debugMCP 设置
对于使用 stdio 传输的本地配置:
{
"mcpServers": {
"screenshotone": {
"command": "node",
"args": ["/path/to/screenshotone-mcp-server/dist/index.js"],
"transportType": "stdio"
}
}
}对于远程 HTTP 配置:
{
"mcpServers": {
"screenshotone": {
"type": "http",
"url": "http://localhost:8080/mcp"
}
}
}HTTP 传输的环境变量:
您可以使用以下环境变量配置 HTTP 服务器:
MCP_HTTP_HOST:绑定到的主机(默认值:127.0.0.1)MCP_HTTP_PORT:监听的端口(默认值:8080)MCP_HTTP_PATH:端点路径(默认值:/mcp)
源代码概述
什么是 MCP?
模型上下文协议 (MCP) 是一种开放标准,允许 AI 系统安全且上下文地与外部工具和数据源连接。
该样板通过清晰的分层架构实现了 MCP 规范,可以扩展以构建任何 API 或数据源的自定义 MCP 服务器。
为什么要使用这个样板?
生产就绪架构:遵循已发布的 MCP 服务器中使用的相同模式,CLI、工具、控制器和服务之间有明确的分离。
类型安全:使用 TypeScript 构建,以改善开发人员体验、代码质量和可维护性。
工作示例:包括一个完全实现的 IP 查找工具,演示从 CLI 到 API 集成的完整模式。
测试框架:配备单元和 CLI 集成测试的测试基础设施,包括覆盖率报告。
开发工具:包括 ESLint、Prettier、TypeScript 和其他为 MCP 服务器开发预先配置的质量工具。
入门
先决条件
Node.js (>=18.x):下载
Git :用于版本控制
步骤 1:克隆并安装
# Clone the repository
git clone https://github.com/mrgoonie/screenshotone-mcp-server.git
cd screenshotone-mcp-server
# Install dependencies
npm install第 2 步:运行开发服务器
使用 stdio 传输(默认)以开发模式启动服务器:
npm run dev:server或者使用 Streamable HTTP 传输:
npm run dev:server:http这将以热重载方式启动 MCP 服务器,并在http://localhost:5173启用 MCP 检查器。
⚙️ 代理服务器正在监听 6277 端口 🔍 MCP Inspector 已启动并运行于http://127.0.0.1:6274
当使用 HTTP 传输时,服务器默认在http://127.0.0.1:8080/mcp上可用。
步骤3:测试截图工具
使用 CLI 截取屏幕截图:
# Basic screenshot
npm run dev:cli -- take-screenshot --url "https://example.com" --access-key "your-access-key"
# Advanced options
npm run dev:cli -- take-screenshot --url "https://example.com" --format png --viewport-width 1920 --viewport-height 1080 --full-page --output screenshot.png建筑学
该样板遵循清晰的分层架构模式,可分离关注点并提高可维护性。
项目结构
src/
├── cli/ # Command-line interfaces
├── controllers/ # Business logic
├── resources/ # MCP resources: expose data and content from your servers to LLMs
├── services/ # External API interactions
├── tools/ # MCP tool definitions
├── types/ # Type definitions
├── utils/ # Shared utilities
└── index.ts # Entry point层次和职责
CLI 层( src/cli/*.cli.ts )
目的:定义解析参数和调用控制器的命令行接口
命名:文件应命名为
<feature>.cli.ts测试:
<feature>.cli.test.ts中的 CLI 集成测试
工具层( src/tools/*.tool.ts )
目的:为人工智能助手定义带有模式和描述的 MCP 工具
命名:文件应命名为
<feature>.tool.ts,类型为<feature>.types.ts模式:每个工具都应该使用 zod 进行参数验证
控制器层( src/controllers/*.controller.ts )
目的:实现业务逻辑、处理错误和格式化响应
命名:文件应命名为
<feature>.controller.ts模式:应返回标准化的
ControllerResponse对象
服务层( src/services/*.service.ts )
目的:与外部 API 或数据源交互
命名:文件应命名为
<feature>.service.ts模式:纯 API 交互,逻辑最少
实用程序层 ( src/utils/*.util.ts )
目的:提供跨应用程序的共享功能
主要用途:
logger.util.ts:结构化日志记录error.util.ts:错误处理和标准化formatter.util.ts:Markdown 格式化助手
开发指南
开发脚本
# Start server in development mode (hot-reload & inspector)
npm run dev:server
# Run CLI in development mode
npm run dev:cli -- [command] [args]
# Build the project
npm run build
# Start server in production mode
npm run start:server
# Run CLI in production mode
npm run start:cli -- [command] [args]测试
# Run all tests
npm test
# Run specific tests
npm test -- src/path/to/test.ts
# Generate test coverage report
npm run test:coverage代码质量
# Lint code
npm run lint
# Format code with Prettier
npm run format
# Check types
npm run typecheck构建自定义工具
按照以下步骤将您自己的工具添加到服务器:
1.定义服务层
在src/services/中创建一个新服务来与您的外部 API 交互:
// src/services/example.service.ts
import { Logger } from '../utils/logger.util.js';
const logger = Logger.forContext('services/example.service.ts');
export async function getData(param: string): Promise<any> {
logger.debug('Getting data', { param });
// API interaction code here
return { result: 'example data' };
}2.创建控制器
在src/controllers/中添加一个控制器来处理业务逻辑:
// src/controllers/example.controller.ts
import { Logger } from '../utils/logger.util.js';
import * as exampleService from '../services/example.service.js';
import { formatMarkdown } from '../utils/formatter.util.js';
import { handleControllerError } from '../utils/error-handler.util.js';
import { ControllerResponse } from '../types/common.types.js';
const logger = Logger.forContext('controllers/example.controller.ts');
export interface GetDataOptions {
param?: string;
}
export async function getData(
options: GetDataOptions = {},
): Promise<ControllerResponse> {
try {
logger.debug('Getting data with options', options);
const data = await exampleService.getData(options.param || 'default');
const content = formatMarkdown(data);
return { content };
} catch (error) {
throw handleControllerError(error, {
entityType: 'ExampleData',
operation: 'getData',
source: 'controllers/example.controller.ts',
});
}
}3. 实现MCP工具
在src/tools/中创建工具定义:
// src/tools/example.tool.ts
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { z } from 'zod';
import { Logger } from '../utils/logger.util.js';
import { formatErrorForMcpTool } from '../utils/error.util.js';
import * as exampleController from '../controllers/example.controller.js';
const logger = Logger.forContext('tools/example.tool.ts');
const GetDataArgs = z.object({
param: z.string().optional().describe('Optional parameter'),
});
type GetDataArgsType = z.infer<typeof GetDataArgs>;
async function handleGetData(args: GetDataArgsType) {
try {
logger.debug('Tool get_data called', args);
const result = await exampleController.getData({
param: args.param,
});
return {
content: [{ type: 'text' as const, text: result.content }],
};
} catch (error) {
logger.error('Tool get_data failed', error);
return formatErrorForMcpTool(error);
}
}
export function register(server: McpServer) {
server.tool(
'get_data',
`Gets data from the example API, optionally using \`param\`.
Use this to fetch example data. Returns formatted data as Markdown.`,
GetDataArgs.shape,
handleGetData,
);
}4.添加CLI支持
在src/cli/中创建一个 CLI 命令:
// src/cli/example.cli.ts
import { program } from 'commander';
import { Logger } from '../utils/logger.util.js';
import * as exampleController from '../controllers/example.controller.js';
import { handleCliError } from '../utils/error-handler.util.js';
const logger = Logger.forContext('cli/example.cli.ts');
program
.command('get-data')
.description('Get example data')
.option('--param <value>', 'Optional parameter')
.action(async (options) => {
try {
logger.debug('CLI get-data called', options);
const result = await exampleController.getData({
param: options.param,
});
console.log(result.content);
} catch (error) {
handleCliError(error);
}
});5. 注册组件
更新入口点以注册新组件:
// In src/cli/index.ts
import '../cli/example.cli.js';
// In src/index.ts (for the tool)
import exampleTool from './tools/example.tool.js';
// Then in registerTools function:
exampleTool.register(server);调试工具
MCP 检查器
访问可视化 MCP 检查器来测试您的工具并查看请求/响应详细信息:
运行
npm run dev:server在浏览器中打开http://localhost:5173
测试您的工具并直接在 UI 中查看日志
服务器日志
启用开发调试日志:
# Set environment variable
DEBUG=true npm run dev:server
# Or configure in ~/.mcp/configs.json发布您的 MCP 服务器
准备发布您的自定义 MCP 服务器时:
使用您的详细信息更新 package.json
使用您的工具文档更新 README.md
构建项目:
npm run build测试生产版本:
npm run start:server发布到 npm:
npm publish
执照
{
"screenshotone": {
"environments": {
"DEBUG": "true",
"SCREENSHOTONE_ACCESS_KEY": "value"
}
}
}**注意:**为了向后兼容,如果未找到screenshotone键,服务器也会识别完整软件包名称 ( screenshotone-mcp-server ) 或未加范围的软件包名称 ( screenshotone-mcp-server ) 下的配置。但是,建议对新配置使用短screenshotone键。
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