aigentify
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@aigentifyAudit the current directory and generate AGENTS.md"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
aigentify
aigentify audits a product directory or live URL for agent-native readiness. It also creates the public artifacts that agents can use.
Install
npm install aigentifyRelated MCP server: AI Knowledge Center MCP
Three faces
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.jsonUse the MCP server with an MCP client:
npx aigentify-mcpThe MCP server exposes audit with { target } and gen with { artifact, params }.
Commands
aigentify audit [target]checks a directory or URL. The default target is..aigentify initwrites starterAGENTS.mdandserver.jsonfiles. Existing files stay unchanged.aigentify gen <artifact>prints an artifact or writes it with--out.aigentify mcpstarts the stdio MCP server.
Artifacts are agents-md, server-json, offer, and agents-route.
Checks
audit scores these signals. The core signals work for a directory or a URL; the
web signals are only meaningful for a served URL and are marked na otherwise.
Core: agents-md, agents-md-public-safe, server-json, mcp, offer-jsonld,
honest-offer, llms-txt, sitemap.
Web (URL targets): well-known-agent, openapi, agents-page, soft-404
(unknown paths must return a real 404, not a 200 app shell), markdown-negotiation
(serve text/markdown on Accept: text/markdown with Vary: Accept),
content-without-js (an <h1> and 500+ characters without JS), org-schema
(Organization JSON-LD with contactPoint and address), crawler-reachable
(agent User-Agents can reach the homepage), and rate-limit-headers (standard
RateLimit-* headers), plus auth-md, api-catalog (RFC 9727),
agent-card-a2a (A2A), link-headers (RFC 8288), markdown-alt, plus external-discovery checks that query third-party registries — ai-plugin, wikidata (P856 official-website match), npm-package, and mcp-registry.
Configuration
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' },
});License
MIT
This server cannot be deployed
Maintenance
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