Which integrations are available for this server?

Provides an OpenAPI specification for ChatGPT Actions and OpenAI function calling, enabling AI models to capture website screenshots programmatically. Offers pre-built Postman collections to simplify testing and integration with the SnapRender Screenshot API.

SnapRender Integrations

npm MCP npm SDK PyPI SDK License: MIT

Official integrations for SnapRender Screenshot API — capture screenshots of any website as PNG, JPEG, WebP, or PDF.

Remote MCP Server

SnapRender runs a hosted MCP server — connect from any MCP client with zero install:

https://app.snap-render.com/mcp

Transport: Streamable HTTP (MCP spec 2025-03-26)
Auth: X-API-Key header or Authorization: Bearer header
Tools: take_screenshot, check_screenshot_cache, get_usage
Prompts: screenshot_website, compare_devices

Claude Desktop (remote — recommended)

{ "mcpServers": { "snaprender": { "type": "streamable-http", "url": "https://app.snap-render.com/mcp", "headers": { "Authorization": "Bearer sk_live_your_key_here" } } } }

Any MCP client (curl)

# Initialize a session curl -X POST https://app.snap-render.com/mcp \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -H "X-API-Key: sk_live_your_key_here" \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

The server returns an Mcp-Session-Id header — include it in subsequent requests to reuse the session.

Smithery

Install via Smithery for automatic setup with any MCP client.

Local MCP Server (npm)

If you prefer running locally via stdio transport:

{ "mcpServers": { "snaprender": { "command": "npx", "args": ["-y", "snaprender-mcp"], "env": { "SNAPRENDER_API_KEY": "sk_live_your_key_here" } } } }

See mcp-server/ for full documentation.

Remote vs Local

	Remote (hosted)	Local (`npx`)
Install	None — just an HTTPS URL	Requires Node.js + npx
Transport	Streamable HTTP	stdio
Use case	Any MCP client, Smithery, web apps	Claude Desktop, Claude Code

MCP Tools

`take_screenshot`

Capture a screenshot of any website. Returns the image as PNG, JPEG, WebP, or PDF.

Parameter	Type	Required	Description
`url`	string	Yes	URL to capture (http:// or https://)
`format`	string	No	`png`, `jpeg`, `webp`, or `pdf` (default: `png`)
`width`	integer	No	Viewport width 320-3840 (default: 1280)
`height`	integer	No	Viewport height 200-10000 (default: 800)
`full_page`	boolean	No	Capture entire scrollable page
`device`	string	No	`iphone_14`, `iphone_15_pro`, `pixel_7`, `ipad_pro`, `macbook_pro`
`dark_mode`	boolean	No	Enable dark mode
`block_ads`	boolean	No	Block ads (default: true)
`block_cookie_banners`	boolean	No	Remove cookie banners (default: true)
`quality`	integer	No	JPEG/WebP quality 1-100 (default: 90)
`delay`	integer	No	Wait ms after page load (default: 0)
`hide_selectors`	string	No	Comma-separated CSS selectors to hide
`click_selector`	string	No	CSS selector to click before capture

`check_screenshot_cache`

Check if a screenshot is cached without capturing. Does not count against quota.

Parameter	Type	Required	Description
`url`	string	Yes	URL to check
`format`	string	No	Output format (default: `png`)

`get_usage`

Get screenshot usage statistics.

Parameter	Type	Required	Description
`month`	string	No	Month in `YYYY-MM` format (default: current month)

Other Integrations

Integration	Description	Setup Time
OpenClaw Skill	Skill file for OpenClaw AI agent	5 min
ChatGPT Actions	OpenAPI spec for Custom GPTs and OpenAI function calling	5 min
Postman Collection	Pre-built API requests for Postman	1 min

SDKs

# Node.js npm install snaprender # Python pip install snaprender

Direct API

curl "https://app.snap-render.com/v1/screenshot?url=https://example.com" \ -H "X-API-Key: sk_live_your_key_here" \ -o screenshot.png

Get an API Key

Sign up free at app.snap-render.com — 50 screenshots/month, no credit card required.

License

MIT

Install Server

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

How are these scores calculated?

Resources

GitHub Repository

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