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Aigentify MCP Server

Developer ToolsModerate5.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

Audit and generate agent-native product surfaces

About

Audit and generate agent-native product surfaces

Security Report

5.2
Moderate5.2Moderate Risk

aigentify is a well-structured developer tool for auditing and generating agent-native product surfaces. The code demonstrates good security practices with proper input validation, no hardcoded credentials, and appropriate use of dependencies. Permissions align well with the server's stated purpose of reading directories, fetching URLs, and generating artifacts. Minor code quality observations around error handling do not materially impact security. Supply chain analysis found 4 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.

7 files analyzed · 9 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-pooriaarab-aigentify": {
      "args": [
        "-y",
        "aigentify"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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 aigentify

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.json

Use the MCP server with an MCP client:

npx aigentify-mcp

The 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 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.

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

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