com.frontdeskreview/front-desk-review-data MCP Server

com.frontdeskreview/front-desk-review-data is an MCP server that provides access to a dataset covering 4,764 products and 626 categories. The description indicates it is sourced from prices, includes dated price history, and provides independent-test coverage for the included items.

🛠️ Key Features

4,764 products
626 categories
Sourced prices
Dated price history
Independent-test coverage

🚀 Use Cases

Looking up products within a large catalog of 4,764 items
Browsing or filtering across 626 categories
Reviewing price changes over time via dated price history
Using independent-test coverage information to compare offerings

⚡ Developer Benefits

Structured catalog scope (products and categories)
Time-aware pricing data (dated price history)
Availability of independent-test coverage alongside prices

⚠️ Limitations

No tool count, topics, or readme excerpt were provided in the available server data.

frontdesk-data

Independent, sourced data on what things cost and how they actually perform. 4,764 products across 359 hardware categories, plus software pricing across 267 categories — every figure traced to its source (the vendor's own page URL and the date we captured it). Quote-only tiers and unknown specs are recorded as null rather than guessed. Nothing is invented.

Current version: 2026-06-12.

Query it live from an AI assistant (MCP)

This dataset is served by a live Model Context Protocol server. No API key, no account, read-only. Every record an assistant receives carries its source URL and capture date, so any figure it repeats can be cited.

Endpoint: https://mcp.frontdeskreview.com/mcp (Streamable HTTP)

Claude Code:

bash

claude mcp add --transport http front-desk-review https://mcp.frontdeskreview.com/mcp

Claude Desktop, Cursor, Cline, Windsurf — add to the client's MCP config:

json

{
  "mcpServers": {
    "front-desk-review": {
      "type": "streamable-http",
      "url": "https://mcp.frontdeskreview.com/mcp"
    }
  }
}

VS Code (Copilot agent) — .vscode/mcp.json uses a top-level servers key:

json

{
  "servers": {
    "front-desk-review": {
      "type": "http",
      "url": "https://mcp.frontdeskreview.com/mcp"
    }
  }
}

ChatGPT, Claude and Perplexity can add it from their own connector settings — paste the endpoint and leave authentication set to None. Setup for every client: https://frontdeskreview.com/connect/

Registry entry: com.frontdeskreview/front-desk-review-data · server card: https://mcp.frontdeskreview.com/mcp/server-card

Tools

All 19 are read-only and annotated as such, so a client can call them without prompting on every request.

Tool	What it answers
`list_sections`	Every software/SaaS pricing theme covered, with slug, label and vendor count.
`search_vendors`	Free-text search across a theme's vendors — names, domains, integrations, plan notes, capabilities.
`compare`	Named vendors side by side within a theme, full sourced records.
`get_normalized_pricing`	Effective monthly cost at a chosen volume, with flat, per-minute and per-call billing reduced to one comparable number.
`get_benchmark`	One vendor's card: entry price, cost at reference volumes, compliance, free tier, integration breadth.
`find_best`	“Cheapest X with a free tier / HIPAA / SOC 2 / GDPR” — ranked, and never on an unverified claim.
`list_coverage`	What the index covers, how many vendors, over what date range — and what it does not cover.
`whats_changed`	Recent price changes, each dated and corroborated by two sources.
`get_price_history`	The full dated price series for one product or vendor, plus archived points read off Internet Archive snapshots.
`price_movers`	What moved most recently across a category or the whole index.
`volatility_for_entity`	How much one product's price actually moves — withheld rather than guessed when the record is too thin.
`most_volatile_in_category`	The least stable prices in a category, ranked.
`list_product_categories`	Every hardware category, with product counts, comparable spec keys and brands.
`search_products`	Free-text search inside a hardware category across names, brands and spec values.
`compare_products`	Named products lined up on the spec keys that category actually compares on.
`find_products`	“Best under $N” or “most ” — filter and rank by price, release date or any spec.
`get_independent_test_coverage`	How many independent labs measured a product, and what they measured — a count of evidence, never a rating.
`list_cost_decoders`	Which categories have a cost decoder explaining what actually drives the bill.
`get_cost_decoder`	The drivers behind a category's real cost, so a quoted price can be read properly.

Coverage

Hardware — 359 categories, 4,764 products with specs, prices and independent-test coverage.
Software — 267 categories of SMB/SaaS pricing, from AI receptionists and call tracking to CRM, VPNs and web hosting.
Provenance — 22,765 source citations; 88% of products carry a published price.

Files

<category>.json — full records, each figure with provenance (source URL + accessed date)
<category>.csv — one flat row per plan/product, with source columns
catalog.json — schema.org DataCatalog index
croissant.json — ML Commons Croissant 1.1 descriptor (Google Dataset Search / Hugging Face)
datapackage.json — Frictionless Data Package (Table Schema per CSV)
CITATION.cff — machine-readable citation
LICENSE — CC BY 4.0

Methodology

Published prices are normalized to a common monthly basis; both the raw published figure and the normalized one are kept. Each row carries its own accessedAt date and is re-checked on a rolling basis. Independent-test coverage counts how many labs measured a product — a count of evidence, never a rating. Full methodology: https://frontdeskreview.com/data

License

CC BY 4.0 — free to use with attribution to The Front Desk Review (https://frontdeskreview.com). See CITATION.cff.

The Front Desk Review