CLI toolkit that generates, validates, and syncs AI coding agent instructions for Codex, Claude Code, GitHub Copilot, Cursor, and other agents.

Open-source readiness scanner for the agentic web.

Scan any website for AI Agent Readiness — WebMCP, A2A, MCP Discovery, OpenAPI, agents.json, llms.txt

Convex component that makes your app readable by AI agents out of the box: serves llms.txt, agents.md, and a per-site markdown file live by default with ETag caching, RFC 8288 Link headers, and Accept: text/markdown negotiation. Advanced opt-ins: llms-ful

Make your website agent-ready for AI agents. WebMCP, ARD, OKF compliance in one command.

Scan any website for AI Agent Readiness — WebMCP, A2A, MCP Discovery, OpenAPI, agents.json, llms.txt

Turn mixed projects into agent-friendly, approval-bound workspaces.

Agent readability scorer. Audits any website against the versioned a14y scorecard — scores how discoverable, parseable, and comprehensible your site is to AI agents.

Generate CLAUDE.md + AGENTS.md tailored to your repo — exact commands, stack conventions, and the gotchas that trip up AI coding agents.

Make any API AI-agent discoverable in one line. Generates robots.txt, llms.txt, agent.json, MCP endpoint, scanner filter, and CORS presets.

Local-first CLI that generates and validates repository instructions for coding agents and human contributors.

Official JavaScript/TypeScript client SDK for the Agent Ready API — scan any URL for AI agent-readability (Vercel Agent Readability Spec, llmstxt.org, agent-protocol manifests).

Command-line client for Agent Ready — scan any URL for AI-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests. Wraps the agent-ready.dev REST API.

CLI for the agentic web. Agent registry, trust scores, encrypted chat, and tools.

Is your website ready for AI agents? Find out — and fix it.

MARK audits whether a product website is ready for AI agents to discover, understand, and call.

Shared internals for making a JS/TS app AI-ready over MCP: route exposure policy, tool dispatch, guardrails, and knowledge-base indexing used by @exposify/express and @exposify/supabase.

StackResolve tools for LangChain.js: resolve a task to the right tool, get the current way to build something, audit a domain for agent-readiness, and research a company.

Start a repo that AI coding agents follow, or add that tooling to one you have: one AGENTS.md, one gate, anti-slop checks.