Server data from the Official MCP Registry
Screenshot and HTML rendering MCP server for AI agents
Screenshot and HTML rendering MCP server for AI agents
Remote endpoints: streamable-http: https://aiphotoshop.mynatapp.cc/mcp
ShotAPI MCP server is a well-designed screenshot and rendering tool with appropriate authentication handling, secure credential management, and permissions that match its purpose. The code demonstrates good security practices: API keys are loaded from environment variables (not hardcoded), HTTP client configuration uses `trust_env=False` to prevent environment variable injection, and error handling is reasonable. Minor code quality suggestions exist but do not raise security concerns. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity).
4 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
Give your AI Agent eyes. One command, zero install.
# Claude Code
claude mcp add --transport streamable-http shotapi https://aiphotoshop.mynatapp.cc/mcp
# Or with npx
npx -y @anthropic-ai/claude-code@latest --mcp https://aiphotoshop.mynatapp.cc/mcp
For Claude Desktop / Cursor, add to your config:
{
"mcpServers": {
"shotapi": {
"type": "streamable-http",
"url": "https://aiphotoshop.mynatapp.cc/mcp"
}
}
}
Human: Build a landing page with a hero section, testimonials, and pricing grid.
Claude: [writes HTML/CSS code]
Claude: Let me check this with the render tool...
[Claude calls ShotAPI render tool with the HTML it wrote]
Claude: The pricing grid overlaps on mobile. Fixing responsive breakpoints...
Human: I just deployed. Check if it looks right.
Claude: [calls ShotAPI screenshot on https://yourapp.com]
Claude: Footer text is cut off — CSS overflow issue. Background image 404.
# Capture before/after screenshots and compare
curl -s "https://aiphotoshop.mynatapp.cc/v1/screenshot?url=https://staging.myapp.com" -o before.png
curl -s "https://aiphotoshop.mynatapp.cc/v1/screenshot?url=https://staging.myapp.com" -o after.png
| Tool | Description | Example |
|---|---|---|
screenshot_one_liner | One URL, one screenshot | screenshot_one_liner(url="https://github.com") |
screenshot | Full control: viewport, full-page, CSS selector, format | screenshot(url="https://github.com", selector="#hero") |
render | Render HTML/CSS to image — Agent writes code, sees result instantly | render(html="<h1>Hello</h1>") |
The render tool closes the feedback loop: write code → render → see → revise → render again.
curl -s "https://aiphotoshop.mynatapp.cc/v1/screenshot?url=https://github.com" -o shot.jpg
| Plan | Price | Limit |
|---|---|---|
| Free | $0 | 100+100/month (IP-based, no signup) |
| Starter | $4.90/mo | 5,000/month |
| Pro | $9.90/mo | 20,000/month |
Free tier: no API key needed. Paid: get key at pricing page.
For private deployments or paid-tier usage, run locally:
# Install dependencies
pip install -r requirements.txt
playwright install chromium
# Set env vars
export SHOTAPI_BASE_URL=https://aiphotoshop.mynatapp.cc
export SHOTAPI_KEY=your_key_here # optional for paid tiers
# Add to Claude Code
claude mcp add shotapi python mcp_stdio.py
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.