Holston AI is answering right now. Last checked 3 min ago. It exposes 12 tools.
AI visibility audits, llms.txt and schema generators, instant quotes, missed-call and ROI tools.
Uptime history
23 days of history · worst day 49%
23 days agonow
100.0%
Uptime 24h
92 of 92 checks
12
Tools
read from the server
569 ms
Response time
average over 24h
open, no key
Access
streamable-http
What changed 9
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 20 October 2026. No other catalogue keeps this.
24 Oct
a tool changed version2 times that day
24 Oct
a tool appeared
check_ai_recommendations
24 Oct
a tool disappeared
check_ai_recommendations
21 Oct
2 tools appeared
design_ai_agent, get_agent_templates
21 Oct
a tool changed version
20 Oct
a tool appeared
calculate_missed_call_cost
20 Oct
a tool changed version
and 1 more, back to 20 October 2026
Holston AI does not always answer
Over the last week it answered 92.8% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.
run in your terminal
claude mcp add holston-ai --transport http https://holstonai.com/mcpSettings → Connectors → Add custom connector, then paste this address
https://holstonai.com/mcp~/.codex/config.toml
[mcp_servers.holston-ai]
url = "https://holstonai.com/mcp".cursor/mcp.json
{
"mcpServers": {
"holston-ai": {
"url": "https://holstonai.com/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"holston-ai": {
"type": "http",
"url": "https://holstonai.com/mcp"
}
}
}Available tools 12
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
calculate
calculate_manual_work_cost
Calculates what manual, repetitive work caused by disconnected systems costs per year: staff hours, full-time equivalents, labor and error costs, five-year cost, and the savings from automating it. Input a list of tasks with hours per week; hourly cost is optional.
calculate_missed_call_cost
Estimates the revenue a business loses each year to unanswered phone calls (missed calls, lost callers, lost customers, monthly and five-year loss) and how much an AI receptionist that answers every call could recover. Give calls per week (or missed calls per week) and the average job value; every other assumption has a sensible default.
calculate_mvp_timeline_roi
Compares a Holston AI fixed-price 2–4 week build against a traditional ~6-month build. Returns build costs, labor savings captured, cost of delay, developer-weeks freed, payback week, and a month-by-month cumulative net position over the analysis window.
generate
generate_boilerplate_schema
Generates a production-ready Next.js App Router repository layout, Prisma schema, and PostgreSQL DDL for a business domain (b2b_saas, marketplace, healthcare_admin, logistics, restaurant_retail, professional_services, manufacturing). Multi-tenant by default with org membership and audit logging; optional agent-run tables.
generate_business_schema
Builds ready-to-paste Organization or LocalBusiness structured data (JSON-LD) with address, phone, hours, service area, services, social profiles and optional FAQs. If a website is given, details are pre-filled from it. Returns the <script> tag plus checks to fix before publishing. Use it when an audit shows missing business schema.
generate_llms_txt
Reads a public website (homepage, sitemap and main pages) and writes a ready-to-upload llms.txt file that tells AI assistants who the business is, what it offers, where it works and which pages matter. Optional details (services, service area, hours, key facts) make it stronger. Use it when an audit shows no llms.txt.
build
build_quote
Builds an itemized Holston AI quote from fixed prices: one-time builds, monthly plans, first-year total (monthly plans have a 12-month minimum), timeline, terms, fitting add-ons, and a shareable link to the quote on holstonai.com. Ask what the customer needs first; do not add plans they did not ask for.
build_systems_map
Draws a map of a company's software systems and how data moves between them (automatic, manual, export/import), as a Mermaid diagram with a shareable link. Flags manual handoffs, the same data kept in several unsynced systems, hub systems many processes depend on, and systems with no connections. Use after interviewing the user about their systems; nothing is stored.
agent
get_agent_templates
Lists Holston AI's ready-built AI receptionist templates by industry (HVAC, plumbing, roofing, dental, law and more): the services, the questions the agent asks, the default call flow, optional steps, and emergency handling. Give an industry id for one template, or omit it for the list. Use it before design_ai_agent.
audit
audit_ai_visibility
Audits a live public website and scores (0–100, grade A–F) how well AI assistants (ChatGPT, Claude, Perplexity) and search engines can find, read and cite it. Checks robots.txt rules for AI and search crawlers, server-rendered text, business and FAQ structured data, Open Graph, llms.txt, sitemap, HTTPS, mobile viewport and response time. Returns each check with a plain-English fix, the top 3 fixes, and a shareable report link. Takes up to ~20 seconds.
design
design_ai_agent
Designs an AI receptionist for a business from Holston AI's templates: the step-by-step call flow, what it does at any point (pricing questions, emergencies, transfers), and a link to holstonai.com where the owner can edit it and talk to the agent out loud in their browser for free. Only the industry and business name are required. Holston AI builds the real version on the business's phone line at a fixed price confirmed after a short call.
request
request_consultation
Sends the user's contact details and project summary to Holston AI so the team can follow up. Before calling: collect name, email or phone, and a summary of what they need (include any quote or report links from this conversation), show the user exactly what will be sent, and get their explicit agreement. Never call it without that agreement or with made-up details.
Tools removed
Tools this server used to expose. Anything built against them stopped working on the day they went.
check_ai_recommendations
removed 24 Oct 2026
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://holstonai.com/mcp | streamable-http | answering | 545 ms | 3 min ago |
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Crawl Readiness
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Holston AI — questions
Answers built from our own checks of this server.
What can Holston AI do?
It exposes 12 tools, read directly from the server on our last check. Among them: audit_ai_visibility, build_quote, build_systems_map, calculate_manual_work_cost, calculate_missed_call_cost, calculate_mvp_timeline_roi and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is Holston AI mostly used for?
Its tools cluster around calculate, generate and build. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Holston AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 569 ms. The bar chart above shows every period we have measured.
Did Holston AI ever remove tools?
Yes. check_ai_recommendations is no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.
How do I connect Holston AI?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Holston AI need an API key?
No. Holston AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Holston AI?
It answers our handshake in 569 ms on average, which is faster than 19% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.