Then Apply
Systems that chain, not stall.
Developer infrastructure and tools, built edge-first. No servers to patch, no queues to babysit โ each piece does one job and hands off cleanly to the next.
See it in action
Fixed input/output pairs showing what each tool actually produces.
# Building Next-Gen AI Microservices Model Context Protocol allows seamless tool execution. ```bash npx @karlangas12/web-to-markdown https://example.com ```
Static example โ not a live API call.
Three Micro-Tools
Built for modularity โ deploy each one standalone, or combine them into your AI toolchain.
web-to-markdown
Converts any web page or raw HTML into clean, dense, LLM-ready Markdown โ strips nav, ads and scripts. Runs as a CLI, a library, or a Cloudflare Workers API.
mcp-shield-proxy
A local firewall for MCP servers. Blocks destructive tool calls and masks secrets like AWS keys and JWTs before they leave your machine. Works with Claude Desktop, Cursor and Claude Code.
openapi-to-mcp
Turns an OpenAPI/Swagger 3.x spec into a working MCP server, with request schemas generated straight from the spec via Zod.
One-Line Integration
Call via standard HTTP `cURL`, integrate into your Node/Python codebase, or add to `claude_desktop_config.json`.
# Fetch clean Markdown via API curl -X POST https://web-to-markdown.karlangas12.workers.dev/v1/convert \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"url": "https://example.com", "options": {"extract_metadata": true}}'