Be found, and hired, by an AI agent.
As people shift from Googling to asking their AI assistant, a business has to be readable and transactable by agents, not only humans. We turn your site, docs, catalogue and booking into Model Context Protocol (MCP) connectors plus an llms.txt, and register you in the MCP registries — so an AI can discover you, answer questions about you, and book or buy from you, every consequential action human-gated.
The shift is already underway. People are asking their AI assistant for recommendations, comparisons and bookings instead of typing queries into a search box. The assistant answers by reading the open web — and by calling structured tools when it can. A business that exposes a clean, typed, agent-friendly surface gets recommended and acted upon. A business that does not, gets skipped over, however good it is.
Model Context Protocol is the open standard that lets an AI assistant use your business the way a human would: read the catalogue, check availability, reserve, pay, follow up. We build those connectors for you — over your existing site, docs, catalogue and booking — and we publish an llms.txt so any compliant agent can find and read you without scraping. We then register the connectors in the official MCP registries so discovery is structural, not accidental.
This is exactly what Virohana did for itself. Our own MCP connector is now listed in the official MCP registry; we are now offering the same build, for your business, with the same discipline: every consequential action — booking, checkout, anything that moves money or commits you — is human-gated. The machine proposes; you dispose.
A surface an agent can actually use.
A content MCP
A read-only connector over your site and documentation, with no API key required for the public-facing queries. An agent can ask what you do, what you sell, and where you operate, and get a grounded, deterministic answer drawn from your own content.
A transaction MCP
A connector for the actions that matter: check availability, reserve a slot, place an order, take payment. The agent can complete a real flow end to end — but the few irreversible acts (charge, confirm, commit) are gated behind an explicit human approval. No silent purchases.
llms.txt and registry listing
A canonical llms.txt describing your business in a form language models can ingest cleanly, plus registrations in the MCP registries so any compliant assistant can discover you structurally, not by scraping.
Egress-isolated, leak-safe
Connectors run on infrastructure you own. Outbound traffic is constrained to the endpoints it must reach. Credentials are short-lived, scoped, and never logged in plaintext. If a connector is compromised, the blast radius is one tool, not the whole system.
Analytics on agent traffic
You see which agents are calling, which tools they use, which actions they attempt, and how often a human-gated step actually fires. Discovery stops being a guess, and you can tell whether being agent-readable is converting.
The same build we did for ourselves
Virohana's own MCP connector is in the official registry. You are not getting a slide deck about agentic commerce; you are getting the same engagement we ran on our own stack, applied to yours.
Request the build.
A scoping consultation is the entry point. In it we agree the surface area — which sites, which docs, which actions — and from that we set the build scope and price. No surprises after the fact.
- Scoping consultation (EUR 500). A focused session to map your current surface, decide what becomes an MCP tool, and confirm the human-gating policy.
- Connectors, llms.txt, registry listing. Built against your stack, on your infrastructure, with the same discipline we applied to our own.
- Hand-off and review. We walk you through the surface, the gating, and the analytics; you keep the keys and the runbooks.