Holston AI
mcp remote · streamable-http · v1.5.0 · source: crawl
https://holstonai.com/mcp
AI visibility audits, llms.txt and schema generators, instant quotes, missed-call and ROI tools.
Works
100
Verified Oct 31, 2026 · p50 854 ms · p95 945 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'holston-ai' |
| tools_listed | 15 | pass | 12 tools |
| schema_complete | 15 | pass | 12 of 12 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 854 ms |
| latency_p95 | 5 | pass | p95 945 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (12)
| Name | Description | Schema |
|---|---|---|
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-m | typed |
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, profe | typed |
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 | typed |
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 | typed |
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 | typed |
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. In | typed |
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 c | typed |
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, | typed |
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 wh | typed |
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 | typed |
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 | typed |
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 | typed |
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[](https://app.agent-xm.com/a/com-holstonai-holston-ai)
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