MCP server
The Front Desk Review
com.frontdeskreview/front-desk-review-data
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
4,764 products, 626 categories: sourced prices, dated price history, independent-test coverage.
Working at last checkVerified publisher: frontdeskreview.comAbout 5,122 tokens per request once connected19 tools
https://mcp.frontdeskreview.com/mcp
At a glance
- Type
- MCP server
- Publisher
- frontdeskreview.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 19
- Token cost
- About 5,122 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http front-desk-review-data https://mcp.frontdeskreview.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.front-desk-review-data] url = "https://mcp.frontdeskreview.com/mcp"
Gemini CLI
{"mcpServers":{"front-desk-review-data":{"httpUrl":"https://mcp.frontdeskreview.com/mcp"}}}
Cursor
{"mcpServers":{"front-desk-review-data":{"url":"https://mcp.frontdeskreview.com/mcp"}}}
VS Code
{"servers":{"front-desk-review-data":{"type":"http","url":"https://mcp.frontdeskreview.com/mcp"}}}
Antigravity
agy mcp add front-desk-review-data https://mcp.frontdeskreview.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"front-desk-review-data","server_url":"https://mcp.frontdeskreview.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"front-desk-review-data","server_url":"https://mcp.frontdeskreview.com/mcp"}
Tools
compare~283 tokens
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. Each prcompare_products~191 tokens
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_best~457 tokens
For 'best <theme> for <use case>' and 'cheapest <theme>': 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, the entry plan's source and its `citation` (figure, plan, source pfind_products~346 tokens
For 'best <category> under $N' and 'which <category> has the most <spec>': filters a category by maxPriceUsd and/or brand, then ranks by a field — 'priceUsd' (the price of record each product's page prints; default, cheapest first), 'releaseDate', or any of the category's spec keys (descending:trueget_benchmark~294 tokens
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 listget_cost_decoder~304 tokens
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 1,0get_independent_test_coverage~290 tokens
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), mentionedget_normalized_pricing~332 tokens
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. Cget_price_history~342 tokens
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 %, the largest single move, and the last change. A change is counted only between two consecutive price-scan readings of the same site; low, highlist_cost_decoders~144 tokens
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 datlist_coverage~179 tokens
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 venlist_product_categories~141 tokens
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_produlist_sections~157 tokens
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 ('secmost_volatile_in_category~260 tokens
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 pricprice_movers~302 tokens
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. Returns an empty list with a clear note when nothing moved in the window (asearch_products~226 tokens
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: each price is the price of record its product page prints, with thatsearch_vendors~305 tokens
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 provolatility_for_entity~218 tokens
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 invenwhats_changed~351 tokens
Recent dated price-change capsules, newest first. 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
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