Agent readiness, engineered
It stops at step three. We build the layer that gets it to the end — tool surface, docs, auth, and evals designed for the agent that's actually going to use them.
Free. No signup. Takes about thirty seconds.
The Gap
MCP won. It's a Linux Foundation standard with Anthropic, OpenAI, Google, Microsoft and AWS behind it, and the serious platforms have all shipped. That part is settled, and you don't need us to tell you it matters.
Here's what's less settled. The median production MCP server exposes five tools. The product behind it has a couple of hundred distinct things a person can do. So an agent can reach a few percent of the software — plenty for a demo, nowhere near enough for work. You've probably already seen this: the server shipped, the demo went well, and then it quietly didn't get used.
<10%
typical share of a product an agent can actually operate end to end, unaided
The Metric
What percentage of your product's real capabilities can an agent complete on its own, start to finish, without a human stepping in? It's measurable from the outside, it's almost always worse than teams expect, and it's the only number that tells you whether your agent interface is real or ceremonial.
Failure Modes
Most servers are built the obvious way — take the existing endpoints, mirror them one-to-one as tools, ship. That's a developer interface in a different wrapper, and it fails in ways you can't see until you watch a real agent attempt real multi-step work.
WRONG_GRANULARITY
Sixty endpoints become sixty tools. The agent now picks from sixty near-identical options every turn. Tools should map to work, not routes.
CONTEXT_BLOAT
Sixty tool descriptions can eat a large share of the window before the agent reads the request. Curating a small surface isn't laziness; it's the design.
DOC_VOICE
"Creates a job" tells an agent nothing. "Use this when the user wants to post a role — always creates a draft; publishing is a separate confirmed call" tells it everything.
OPAQUE_ERRORS
A 409 sends a human to the docs. An agent needs "already invited on the 14th — use resend_invite." Errors are recovery instructions.
NO_SEQUENCE
A developer reads the tutorial once. An agent starts from zero every session. If the sequence isn't in the descriptions and skills, it guesses.
NO_GATES
The UI had modals and two-step flows. The API didn't need them because a developer chose deliberately. An agent will happily publish, delete, or spend.
Anyone can wrap an API in an MCP server. That's the easy half — and it's why most of them don't work.
The Work
Tools mapped to real jobs, strict schemas, unambiguous names, structured errors that carry recovery instructions, idempotency on every mutation.
The platform's vocabulary, sequencing rules, preconditions, gotchas, and worked examples — written to the agent, not about the product.
Scoped OAuth 2.1, key issuance and revocation, per-tenant isolation enforced server-side, delegation that doesn't hand one agent another's token, full audit trail.
AP2 for authorization trails, ACP for chat-driven checkout, x402 for per-call settlement. We'll tell you which of the three you need and which you can ignore.
llms.txt, server cards, agent cards, catalog indexes, registry publication — so agents find you and choose you. It's what SEO was, for a reader that doesn't browse.
Intent preview, autonomy controls, confirmation gates, escalation paths, graceful failure — and the public /agents page where you show the world what your surface can do.
Real agents run against real scenarios, scored on goal completion. Regression testing before model updates reach your customers. Coverage measured before and after.
Proof
A recruiting platform. Before: an API, no agent surface, coverage in the low single digits. After: an agent creates the role, screens the full applicant pool, reads structured scorecards, and returns a ranked shortlist — with human confirmation before anything is published or spent.
GOLDEN PATH TRACE
Working Together
TWO WEEKS
$2,500
Full report on what agents can and can't do with your product, scored, with a prioritized fix list. Credited in full against a build.
START AN AUDITTHIRTY DAYS
$15,000
The complete layer: tool surface, skills and docs, auth, discovery, your /agents page, evals, and a measured coverage lift. Ongoing care from $2,500/mo.
BOOK A CALLTHREE WEEKS
$10,000
You already shipped a server. We fix what's broken — auth, ambiguity, missing gates, error design — and expand the surface to cover real work.
START A RESCUEEverything we sell, running on ourselves
The agent layer is the portfolio. Connect your own agent and see what a proper surface feels like — every tool below is live, and the read tools need no auth.
CONNECT · CLAUDE / CHATGPT / ANY MCP CLIENT
{
"mcpServers": {
"agent-interface": {
"url": "https://mcp.theagentinterface.com/mcp"
}
}
}
Transport: streamable-http Auth: none for read tools; OAuth 2.1 for booking Discovery: /.well-known/mcp.json
WHAT AN AGENT CAN DO HERE
DOCS · WRITTEN FOR AGENTS
Four documents, generated from source, no marketing voice: tools.md (every tool, schema, failure mode), skills.md (how to evaluate agent-readiness), vocabulary.md (the terms we use), examples.md (worked traces, prompt to payload).
AGENTS CAN PAY US · x402
Shallow audits are free. Deep audits settle over x402 — HTTP 402, stablecoin, per call, no signup and no card. An agent can request a full report and pay for it in one flow, with nobody watching. We built it here because we sell it.
AVAILABLE AS AN AGENT · A2A
Our agent-card.json lets other agents delegate to us: “audit this domain and report back.” Not a company with an agent interface — a company that is available as an agent.
The Agent Coverage Index
A public, opt-in leaderboard of scored companies. Run the audit, publish your score, improve it, re-run. Every score below was measured by an agent — not self-reported.
Opt-in only. Scores shown with each company's consent. Illustrative sample.
Tell your agent to find someone who can fix your agent layer and book time. It can audit us, read our work, check our availability, and book the call itself. Here's one doing exactly that.
# Are you an agent? Start here: theagentinterface.com/llms.txt — index of everything below theagentinterface.com/llms-full.txt — full corpus, one fetch Connect: https://mcp.theagentinterface.com/mcp — MCP endpoint (streamable-http) /.well-known/mcp.json — server card / auto-config /.well-known/agent-card.json — A2A card; delegate audits to us /.well-known/ai-catalog.json — agentic resource discovery /openapi.json — REST parity Docs: /agents/docs/tools.md — tool reference & schemas /agents/docs/skills.md — how to evaluate agent-readiness /agents/docs/vocabulary.md — the terms we use /agents/docs/examples.md — worked traces Try the audit: run_audit(domain) — free. Deep audits settle over x402. Humans welcome too.