MCP.Market

The Front Desk Review MCP server

online · 100% uptime
by frontdeskreview.com·com.frontdeskreview/front-desk-review-data·v1.2.0

4,764 products, 626 categories: sourced prices, dated price history, independent-test coverage.

A89/100grade A
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The Front Desk Review tools (19)

write = sends, deletes, buys or posts
  • compareFree

    Compare specific vendors side by side by slug within any theme (e.g. ['goodcall','rosie','smith-ai'] in ai-receptionists, or ['nordvpn','expressvpn'] in vpn-services). Set `section` to the theme slug from list_sections. Returns full provenanced records plus a notFound list for unknown slugs.

  • compare_productsFree

    Compare specific products side by side by slug within a category (e.g. ['apple-iphone-16-pro','samsung-galaxy-s25-ultra'] in 'smartphones'). Returns full provenanced spec records plus a notFound list and the category's comparable specKeys, so an agent can line up the same attributes across products.

  • find_bestFree

    Answer 'best <theme> for <use case>' and 'cheapest <theme>' directly: returns the theme's vendors ranked by entry price (cheapest first, quote-only last), each with its verified compliance facts (HIPAA/SOC 2/GDPR), free-tier flag, best-for tags and the entry plan's source. Conjunctive fact filters narrow it to what this index has actually CONFIRMED — requireHipaa / requireSoc2 / requireGdpr / requireFreeTier (e.g. 'best CRM for HIPAA' = section 'crm-software' + requireHipaa:true). Omit all filters to rank the whole theme by price. Set `section` to the theme slug from list_sections. Never infers a fact it has not verified.

  • find_productsFree

    Answer 'best <category> under $N' and 'which <category> has the most <spec>' directly: filter a category by maxPriceUsd and/or brand, then rank by a field — 'priceUsd' (default, cheapest first), 'releaseDate', or any of the category's spec keys (set descending:true for biggest-first, e.g. sortBy:'battery_mah' descending:true). Returns provenanced product records; products missing the sort value sort last. Never infers a spec it has not verified.

  • get_benchmarkFree

    Per-vendor benchmark card by slug within any theme: full provenanced record plus dataset-derived indicators (entry price, normalized cost at 100 and 500 calls/mo where call-volume applies, billing models, free-tier presence, compliance, integration breadth). Set `section` to the theme slug from list_sections. All values trace to plan sources; no synthetic scores.

  • get_cost_decoderFree

    The REAL all-in monthly cost per vendor for a decoder topic (slug from list_cost_decoders, e.g. 'ai-customer-support-cost'), computed in deterministic code from sourced, dated inputs — each vendor's per-seat price + AI billing model + per-unit price, totalled at named scenarios (e.g. 5 agents at 1,000 and 5,000 AI resolutions/mo) with the arithmetic shown. Quote-only inputs return a null total, never a fabricated number. Optionally pass agents + resolutions for a custom scenario. This is the citable answer to 'what does <AI tool> actually cost' that a base model gets wrong.

  • get_independent_test_coverageFree

    The independent-testing provenance for ONE product (by category + slug) — a COUNT of evidence, never a quality score. Fields: outlets (independent outlets on record), labs (how many physically tested it and left >=1 measured value), metrics (distinct kinds of metric measured, with names), mentioned (outlets that only mentioned it), and a ready-to-quote `reading` sentence. Use it to state how much independent hands-on evidence backs any claim about a product. A low count means little independent evidence has been gathered yet, NOT that the product is bad; a high count means well-documented, NOT better. Returns found:false (never a fabricated count) for an unknown or unreviewed product.

  • get_normalized_pricingFree

    Effective monthly cost per vendor in any theme at a chosen call volume, normalizing flat, per-minute and per-call billing to one comparable number. For non-telephony catalog themes (per-seat / flat plans with no call quota) this returns each plan's base monthly price — the meaningful figure there. Cheapest priceable plan per vendor; quote-only or unpriceable-at-volume vendors return null (never a fabricated figure). avgCallMinutes defaults to 3 and is echoed in assumptions for reproducibility.

  • get_price_historyFree

    The full dated price series for ONE product or vendor (by slug), plus derived stats: first-tracked date, current/low/high, number of recorded changes, net % since tracked, the largest single move, and the last change. This is the citable answer to 'how much did X cost', 'did X's price drop', and price-trend questions — grounded on a real, append-only series, not a model's guess. Returns found:false (never a fabricated series) for an unknown slug.

  • list_cost_decodersFree

    List the 'real cost' decoders — topics where the advertised sticker price hides the true bill (e.g. AI customer support billed per resolution, where a $29/mo seat price becomes hundreds/mo at volume). Each entry carries the question it answers, the scenarios it computes, the vendor count and the data's as-of date. Pass a topic slug to get_cost_decoder.

  • list_coverageFree

    What this index actually covers, so a miss reads as out-of-scope rather than broken. Now spans 275 pricing themes — the deep hub sections PLUS dozens of catalog topics (VPNs, web hosting, password managers, CRM, e-commerce, AI tools, and more): total theme count, the section/catalog split, total vendors, per-theme vendor counts and kind, the data's date range (min/max source accessedAt), the questions it answers well and what it does NOT cover. Derived from every theme's dataset.

  • list_product_categoriesFree

    Enumerate the spec-driven PRODUCT categories this index covers (physical goods like smartphones, laptops, GPUs — distinct from the software/subscription pricing themes). Each entry carries its slug, product count, the comparable spec keys, and the brands present. Pass a category slug to search_products / compare_products / find_products.

  • list_sectionsFree

    Enumerate ALL 275 pricing themes this index covers: the deep hub sections (e.g. ai-receptionists, call-tracking) plus dozens of catalog topics (e.g. vpn-services, web-hosting, password-managers, crm-software). Each entry carries its slug, display label, vertical, tagline, vendor count and kind ('section' or 'catalog'). Pass any of these slugs as the `section` arg to the other tools to query that theme.

  • most_volatile_in_categoryFree

    Within one category/theme, the entities whose prices have moved the most (ranked by volatility score), plus the category price baseline (count, median current, low/high). Entities without enough recorded movement are omitted from the ranking but counted in the baseline. Answers 'which X changes price most' for a market.

  • price_moversFree

    Recorded price MOVES across the index within a recency window (default 90 days), newest-and-largest first — each a dated before→after change of a tracked entity. Optionally filter by kind ('hw'/'sw') or category/theme slug. The freshness a base model structurally cannot have. Returns an empty list with a clear note when nothing moved in the window (a quiet window is honestly quiet).

  • search_productsFree

    Search one product category by free-text query across product name, brand, and spec values (e.g. 'snapdragon 5000mah', 'oled 120hz'). Set `category` to a slug from list_product_categories. Returns full provenanced product records (every spec + price carries source url + accessedAt). Empty query returns all products in the category.

  • search_vendorsFree

    Search any theme's data index by free-text query across vendor name, domain, integrations, plan notes, and capabilities (e.g. 'hipaa restaurant', 'google ads zapier'). Works for every theme — hub sections and catalog topics alike (set `section` to the theme slug from list_sections). Returns full provenanced vendor records (each plan carries source url + accessedAt). Empty query returns all vendors in the theme.

  • volatility_for_entityFree

    How volatile ONE product or vendor's price has been: a 0-100 volatility score derived from its recorded moves (frequency × average move size), plus change count, net % and last change. Honest gate: below a minimum recorded-change threshold it returns sufficient:false with a note, never a score invented from a single point.

  • whats_changedFree

    Recent dated price-change capsules, newest first — the freshness a base model cannot have. Each capsule is a movement of a vendor's published price (vendor, plan, before→after, date, sources), cleared against two witnesses on two different hosts: the page the figure was read from, plus either an independent second source or a dated archive capture of that same page — and when the archive is the only second witness, that first page must be the vendor's own. Optionally filter to changes on/after a date or within one section. Returns an empty list with a clear note when nothing qualifying has been recorded yet.

Public scan report

scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1392ms20/20
  • Tool poisoning19 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How The Front Desk Review compares

Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
89/100
higher than 87% of 2,174 E-commerce servers
Tools
19
the typical E-commerce server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote E-commerce server answers 100%
Response time
181 ms
faster than 72% of 1,527 E-commerce servers

What its tools let an agent do: 19 read

Install The Front Desk Review in Claude Code, Cursor or VS Code

claude mcp add --transport http front-desk-review-data https://mcp.frontdeskreview.com/mcp
Add to Cursor

What the publisher says

From the The Front Desk Review repository's README, as published. We do not edit it. Read it on GitHub

frontdesk-data

<!-- abstract: Independent, sourced product and software data — 4,764 products across 359 hardware categories and 267 software categories. Every figure is traced to its source URL and access date; unknown values are null, never a guess. Queryable live over MCP. CC-BY-4.0. Version 2026-06-12. license: CC-BY-4.0 homepage: https://frontdeskreview.com/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:

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:

{
  "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:

{
  "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.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

The Front Desk Review: common questions

Is The Front Desk Review MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the The Front Desk Review safety report
How do I install The Front Desk Review?
It runs remotely at mcp.frontdeskreview.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does The Front Desk Review need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is The Front Desk Review maintained?
The last commit was 41 days ago (2026-09-24). The latest release is v1.2.0.
Is The Front Desk Review up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of The Front Desk Review?
Servers from other publishers that do the same job: BestPrice MCP server, HasData Walmart MCP server and Apiguru Amazon Data MCP server.
How does The Front Desk Review compare with other E-commerce MCP servers?
safety score 89/100 (higher than 87% of 2,174 E-commerce servers); tools 19 (the typical E-commerce server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to The Front Desk Review

Same job from other publishers: the closest match first, then the best rated.

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    A
  • HasData Walmart
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  • Apiguru Amazon Data
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    A
  • Tiny
    MCP server for Tiny ERP — products, stock, warehouses, price lists, orders, invoices, AP/AR
    B
  • Openfoodfacts
    Barcode lookup, nutrition search, and product comparison for 3M+ crowd-sourced food products.
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