User0856/snaprender-mcp

Overview

SnapRender MCP server provides a Model Context Protocol interface to the SnapRender Screenshot API, enabling LLM agents to capture webpage screenshots via standardized tool calls. It wraps the API in a JavaScript server that exposes screenshot capture as a tool for compatible AI clients.

Best for

Best for
Developers building AI agents that need on-demand webpage screenshots via MCP-compatible tools

Use cases

• Let an LLM agent capture a webpage screenshot during a conversation
• Integrate screenshot capture into AI-powered testing or monitoring workflows
• Provide visual context to an AI assistant by fetching page renders on demand

How to use

Install

pip install snaprender

Tools exposed

• full_page
• dark_mode
• block_ads
• block_cookie_banners
• hide_selectors
• click_selector

Tested with

Claude Desktop, Claude Code, ChatGPT

Example client config

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

Notes

SnapRender MCP server provides a Model Context Protocol interface to the SnapRender Screenshot API, enabling LLM agents to capture webpage screenshots via standardized tool calls. It wraps the API in a JavaScript server that exposes screenshot capture as a tool for compatible AI clients.

1 stars on GitHub. Last updated 2026-05-07. Licensed MIT.

Use cases

• Let an LLM agent capture a webpage screenshot during a conversation
• Integrate screenshot capture into AI-powered testing or monitoring workflows
• Provide visual context to an AI assistant by fetching page renders on demand

Pros

• Follows the MCP standard for easy integration with compatible AI clients
• Lightweight JavaScript server with minimal dependencies
• Official integration maintained alongside SDKs and other tooling

Cons

• Very early stage with only 1 star and likely limited community support
• Requires a separate SnapRender API key and network access to function
• No documentation beyond the repository description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.