shotapi-mcp
ShotAPI — Screenshot & Render MCP Server for AI Agents. Documentation and configuration for MCP registry submission.
Documentation
ShotAPI — Screenshot & Render MCP Server for AI Agents
> 🇨🇳 中文用户:给 AI Agent 加上"看网页"能力!一条命令连接,无需翻墙,支持微信支付宝。
Give AI agents eyes — let Claude, Cursor, and other agents capture webpages and render HTML directly through MCP.
One command to connect, zero setup:
# Claude Code (remote mode — no install needed)
claude mcp add --transport streamable-http shotapi https://aiphotoshop.mynatapp.cc/mcp
# Claude Desktop / Cursor — add to config JSON:
# "shotapi": { "type": "streamable-http", "url": "https://aiphotoshop.mynatapp.cc/mcp" }Features
| Tool | Description |
|---|---|
| `screenshot_one_liner` | Capture a webpage as JPEG — just pass a URL |
| `screenshot` | Full control: viewport, full-page, element selector, format |
| `render` | HTML/CSS → image. Turn markup into a visual preview |
- Direct access — China tunnel, no VPN needed
- Free tier — 30 screenshots + 30 renders/month (IP-based, no signup)
- Paid tier — ¥29/月(标准版5000次) / ¥99/月(专业版20000次) — 支持微信支付宝
- Paid tier (International) — $4.90/mo Starter / $9.90/mo Pro
Connection Modes
Remote (Streamable HTTP) — Recommended
Zero local install. Free tier shares server quota across all remote users.
# Claude Code
claude mcp add --transport streamable-http shotapi https://aiphotoshop.mynatapp.cc/mcp
# Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"shotapi": {
"type": "streamable-http",
"url": "https://aiphotoshop.mynatapp.cc/mcp"
}
}
}
# Cursor (.cursor/mcp.json)
{
"mcpServers": {
"shotapi": {
"type": "streamable-http",
"url": "https://aiphotoshop.mynatapp.cc/mcp"
}
}
}Local (Stdio) — For Paid Users
Set `SHOTAPI_KEY` env var for dedicated paid quota (not shared with free pool).
# Claude Code
claude mcp add screenshot-api -e SHOTAPI_KEY=your_key python mcp_stdio.py
# Claude Desktop
{
"mcpServers": {
"screenshot-api": {
"command": "python",
"args": ["mcp_stdio.py"],
"env": { "SHOTAPI_KEY": "your_key", "SHOTAPI_BASE_URL": "https://aiphotoshop.mynatapp.cc" }
}
}
}Pricing
| Tier | Price | Quota |
|---|---|---|
| Free | $0/mo | 30 screenshots + 30 renders/month (IP-based) |
| Starter | $4.90/mo | 5,000 each |
| Pro | $9.90/mo | 20,000 each |
Chinese users can pay via 爱发电 (WeChat/Alipay).
API Reference
Screenshot
GET /v1/screenshot?url=https://example.com&width=1280&height=720&format=jpeg&block_ads=true
GET /v1/screenshot?url=https://example.com&fullpage=true
GET /v1/screenshot?url=https://example.com&selector=.main-contentParameters: `url` (required), `width`, `height`, `fullpage`, `selector` (CSS), `format` (png/jpeg/webp), `block_ads`, `wait_for`, `ttl`
Render
POST /v1/render Body: {"html": "Hello", "width": 1280, "format": "png"}Parameters: `html` (required), `width`, `height`, `format`
Links
- Website: https://aiphotoshop.mynatapp.cc
- Docs: https://aiphotoshop.mynatapp.cc/docs
- English Docs: https://aiphotoshop.mynatapp.cc/en/docs
- Pricing: https://aiphotoshop.mynatapp.cc/en/pricing
- Swagger: https://aiphotoshop.mynatapp.cc/api-docs
- Contact: shotapi@outlook.com
License
This repository contains documentation and configuration only. The ShotAPI server software is proprietary.
Keywords: MCP server, screenshot API, render HTML, AI agent, Claude MCP, Cursor MCP, streamable-http, webpage capture, web screenshot, 截图API, 网页截图, AI截图工具, MCP服务器
Frequently asked questions
What is shotapi-mcp?
shotapi-mcp is ShotAPI — Screenshot & Render MCP Server for AI Agents. Documentation and configuration for MCP registry submission.
How do I install shotapi-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is shotapi-mcp open source?
Yes — it is hosted on GitHub at https://github.com/smallhandsome/shotapi-mcp.
Related MCP tools
Model Context Protocol Servers
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, CoPilot, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP