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aigentify audits a product directory or live URL for agent-native readiness. It also creates the public artifacts that agents can use.
npm install aigentify
Use the library in JavaScript or TypeScript:
import { auditTarget, generate } from 'aigentify';
const report = await auditTarget('.');
const instructions = generate('agents-md', {
name: 'Example product',
description: 'A product with a clear agent interface.',
repository: 'https://github.com/example/product',
});
Use the CLI:
npx aigentify audit .
npx aigentify gen agents-md
npx aigentify gen server-json --out server.json
Use the MCP server with an MCP client:
npx aigentify-mcp
The MCP server exposes audit with { target } and gen with { artifact, params }.
aigentify audit [target] checks a directory or URL. The default target is ..aigentify init writes starter AGENTS.md and server.json files. Existing files stay unchanged.aigentify gen <artifact> prints an artifact or writes it with --out.aigentify mcp starts the stdio MCP server.Artifacts are agents-md, server-json, offer, and agents-route.
Add an optional aigentify.config.ts, aigentify.config.js, or aigentify.config.mjs file. Export defineConfig(...) data as the default export or as aigentifyConfig.
import { defineConfig } from 'aigentify';
export default defineConfig({
name: 'Example product',
description: 'A product with a clear agent interface.',
repository: 'https://github.com/example/product',
npmPackage: 'example-product',
offer: { name: 'Access', price: 0, priceCurrency: 'USD' },
});
MIT
FAQs
Audit and generate agent-native product surfaces
The npm package aigentify receives a total of 656 weekly downloads. As such, aigentify popularity was classified as not popular.
We found that aigentify demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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