Restricted docs: using allowlisted emails to share APIs with select partners
apikumo's Restricted visibility mode lets you share API documentation with specific external partners by allowlisting their email addresses — no fully public URL, no manual PDF exports, no separate portal needed.
Letting AI agents read and call your API: llms.txt, Markdown, and OpenAPI exports explained
When AI agents can read and call your API without friction, they become first-class consumers of your platform. This post explains how apikumo's published subdomain exposes llms.txt, Markdown, and OpenAPI 3 exports — and how to structure your docs so agents actually use them well.
From cURL to 20+ languages: how apikumo generates code samples from a live request
apikumo generates ready-to-run code samples in 20+ languages directly from a saved request, with environment variables already substituted so secrets never appear in the output you share.
Building a living API changelog: how versioning works in apikumo
Breaking changes don't have to break trust — learn how to use apikumo's versioning and changelog tools to ship API updates transparently and keep consumers informed at every step.
How to chain requests in apikumo: auth, list, and delete in one workflow
Stop copying tokens between tabs. This guide shows you how to use apikumo's post-processor variable extraction to chain an auth request, a list call, and a delete call into a single seamless workflow.
What is MCP (Model Context Protocol) and Why Your API Needs an MCP Endpoint in 2026
Model Context Protocol is quietly becoming the USB-C of AI agent tooling — a single standard that lets Claude, Cursor, and any other LLM-powered tool read and call your API without custom glue code. Here is what MCP is, why it matters in 2026, and how apikumo generates an MCP endpoint for you automatically.
How to Share API Docs with Clients Without Exposing Other Projects
You've been there. A client asks for the API documentation for their project. You open your API platform and realize everything is in one big workspace