How I Use MCP Tools to Speed Up API Development — A Real Workflow

Last week I was debugging a webhook integration — decoding JWTs, converting timestamps, diffing JSON payloads, hashing HMAC signatures. Each task meant opening a new browser tab, pasting data into some random website, and hoping I wasn't leaking secrets to a third party. Then I remembered: my AI assistant already has all these tools built in. Here's how MCP developer tools turned a tab-heavy debugging session into a conversation. The Setup (2 minutes) MCP (Model Context Protocol) lets AI assistants call local tools. No browser, no copy-paste, no data leaving your machine. I use mcp-devutils — 44 developer utilities that run locally via npx . Setup for Claude Desktop: { "mcpServers" : { "devutils" : { "command" : "npx" , "args" : [ "-y" , "mcp-devutils" ] } } } Works the same in Cursor ( .cursor/mcp.json ), Windsurf ( ~/.codeium/windsurf/mcp_config.json ), and VS Code ( .vscode/mcp.json ). Restart your editor. Done. The Workflow: Debugging a Webhook Step 1: Decode the JWT A webhook send