Enterprise DNA
M MCP Servers Developer low

copperline-labs/rendex-mcp

by Various

MCP server for Rendex — capture screenshots, generate PDFs, and render HTML to images of any webpage via AI agents. Claude, Cursor, Windsurf compatible.

C

MCP

copperline-labs/rendex-mcp

Added 1 June 2026

#ai-agent #api #claude #cloudflare-workers #mcp #mcp-server #model-context-protocol #rendex

Overview

An MCP server that lets AI agents capture screenshots, generate PDFs, and render HTML to images from any webpage. It works with Claude, Cursor, and Windsurf by exposing Rendex capabilities through the Model Context Protocol.

Best for

Best for
Developers building AI agents that need visual webpage capture or PDF generation

Use cases

  • Capture full-page screenshots of webpages via AI agent commands
  • Generate PDFs from live URLs or HTML content programmatically
  • Render HTML to image for visual verification in agent workflows

How to use

Install

npx -y @copperline/rendex-mcp

Tools exposed

  • rendex_screenshot
  • rendex_extract
  • rendex_render_link
  • render_artifact

Tested with

Claude Desktop, Cursor, Windsurf, Claude Code, ChatGPT, MCP Inspector

Example client config

{\n  "mcpServers": {\n    "rendex": {\n      "command": "npx",\n      "args": ["-y", "@copperline/rendex-mcp"],\n      "env": {\n        "RENDEX_API_KEY": "your-api-key"\n      }\n    }\n  }\n}

Notes

An MCP server that lets AI agents capture screenshots, generate PDFs, and render HTML to images from any webpage. It works with Claude, Cursor, and Windsurf by exposing Rendex capabilities through the Model Context Protocol.

2 stars on GitHub. Last updated 2026-05-31. Licensed MIT.

Use cases

  • Capture full-page screenshots of webpages via AI agent commands
  • Generate PDFs from live URLs or HTML content programmatically
  • Render HTML to image for visual verification in agent workflows

Pros

  • Works with multiple popular AI agent platforms out of the box
  • Simple MCP integration for existing agent setups
  • Handles both URL-based and raw HTML input

Cons

  • Very early stage with only 2 GitHub stars and limited community adoption
  • No documented error handling or rate limiting for production use
  • Dependency on Rendex service availability and performance

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

Pros

  • Works with multiple popular AI agent platforms out of the box
  • Simple MCP integration for existing agent setups
  • Handles both URL-based and raw HTML input

Cons

  • Very early stage with only 2 GitHub stars and limited community adoption
  • No documented error handling or rate limiting for production use
  • Dependency on Rendex service availability and performance
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks