services / $ stacken ai-ready --docs --mcp --cli

AI-Ready DevEx

Get recommended by AI. Work first time when it's used.

  • llms.txt
  • MCP
  • CLI
  • AI search

Developers now ask Claude, ChatGPT, Cursor or Copilot before they open your docs. If those tools don't know your product, or write broken code against your SDK, you lose the developer before you knew they existed.

We test how AI tools see and use your product today, then fix it at every layer: how you're discovered, how your docs are read, how agents connect, and how your tooling behaves when a machine is driving.

Discuss your project →hello@stackenlabs.xyz

who it's for

  • Dev platforms and APIs whose SDK gets hallucinated by coding assistants
  • Web3 protocols that want to be the default answer when developers ask AI
  • Teams launching a CLI, SDK or API who want it agent-first from day one

what you get

  1. 01 / discoverable

    AI tools know you exist and describe you correctly.

    • +AI visibility audit: how ChatGPT, Claude, Perplexity and coding assistants answer questions about you
    • +llms.txt, llms-full.txt and markdown versions of every docs page
    • +Structured data and content that AI search engines cite (GEO)
    • +Listings in MCP registries and agent tool directories

  2. 02 / usable

    AI tools write working code against your product.

    • +MCP server for your docs and API: tools, resources and auth
    • +"Copy for AI" and "Open in Claude / ChatGPT" buttons across your docs
    • +Rules, skills and plugins for Cursor, Claude Code and other coding agents
    • +AI search and assistant over your docs
    • +LLM evals: measure how often models write working code for your SDK, then close the gaps

  3. 03 / native

    Agents can operate your product end to end.

    • +Agent-friendly CLI: predictable commands, --json output, non-interactive mode
    • +SDK and API ergonomics for agents: clear errors, typed schemas, OpenAPI cleanup
    • +Examples for popular agent frameworks
    • +x402 pay-per-call, so agents can pay without a signup

Every engagement is scoped around your team. Mix and match, or tell us what you need.

why us

  • →AI402: pay-per-use for AI agents, MCP servers and APIs. 2nd place, Coinbase Agents in Action
  • →Built a JavaScript SDK at Krypc and shipped fixes into Wormhole's CLI
  • →This site practises it too: see stackenlabs.xyz/llms.txt
See all work →

faq

What is llms.txt?+

A plain-text file at the root of your site that gives AI tools a clean map of your docs, like a sitemap written for language models. Many coding assistants and AI search tools read it.

Isn't this just SEO?+

It overlaps, but the goal is different. SEO gets humans to your page. AI-ready DevEx makes sure the model answering the developer knows your product and writes code against it that runs.

Can you take just one piece, like the MCP server or the CLI?+

Yes. The three levels are a menu, not a bundle. Most teams start with the audit, then pick what matters.

start a project

Talk to us about ai-ready devex.

or email hello@stackenlabs.xyz

pairs well with

build

MVP & Product Builds

Full-stack web3 and AI products, from smart contracts to frontend, taken from idea to a launched MVP fast.

build

SDKs, Demo Apps & Starter Kits

SDKs, CLIs, reference apps and starter kits that show developers and partners exactly how to build on you.

grow

Fractional DevRel

A senior DevRel function embedded in your team. Docs, content, community and launches, without the months-long hiring cycle.