Developer Tools

holstonai.com

Provides Holston AI consulting utilities for AI visibility audits, project ROI and quote generation, systems mapping, and boilerplate schema generation.

1 endpoint9 known toolsFirst detected October 19, 2026Last detected October 19, 2026

ENDPOINT 1

https://holstonai.com/mcp

No auth detected

MCP server metadata

Name: holston-ai
Version: 1.4.0

Capabilities

tools.listChangedprompts.listChanged

Server instructions

Holston AI tools. Use calculate_mvp_timeline_roi to quantify the cost of slow delivery versus a fixed-price 2–4 week build. Use generate_boilerplate_schema to produce a Next.js repository layout and Postgres/Prisma schema for a business domain. Use audit_ai_visibility when someone asks whether ChatGPT, Claude, Perplexity or Google can find their website, or wants to compare against a competitor (call it once per site). Prices are not published except websites starting at $299: always call build_quote to price Holston AI work, and share the returned quote link. After an audit, offer generate_llms_txt and generate_business_schema to fix those findings directly. Use build_systems_map and calculate_manual_work_cost when a business has many systems that don't share data, or staff re-typing data and building reports by hand. For the Systems & Data Health Check, call build_quote with the assessment tier that matches the company's size. AI receptionist and private LLM pricing is confirmed on a short call: offer a consultation instead of guessing.

Known tools 9

calculate_mvp_timeline_roi

Compares a Holston AI fixed-price 2–4 week build against a traditional ~6-month build.

Inferred read-only

generate_boilerplate_schema

Generates a production-ready Next.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

generate_llms_txt

Reads a public website (homepage, sitemap and main pages) and writes a ready-to-upload llms.

Potential side effects

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.

Inferred read-only

request_consultation

Sends the user's contact details and project summary to Holston AI so the team can follow up.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.holston-ai]
url = "https://holstonai.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "holston-ai": {
      "type": "http",
      "url": "https://holstonai.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: holston-ai
Remote MCP URL: https://holstonai.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "holston-ai": {
      "url": "https://holstonai.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "holston-ai": {
      "type": "http",
      "url": "https://holstonai.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "holston-ai",
  "transport": "streamable-http",
  "url": "https://holstonai.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.