The Front Desk Review
Compare prices and specs across 4,764 products and software vendors with sourced pricing history and independent test co
Database of 4,764 products and software vendors across 275 categories with dated price history, independent test coverage, and compliance data. Helps find the cheapest or best-fit option by price, features, HIPAA/SOC 2/GDPR compliance, and real-world cost at different usage volumes.
Try asking Muse: "Find the cheapest HIPAA-compliant AI receptionist for my medical practice."
Source: Found in the official MCP Registry (com.frontdeskreview/front-desk-review-data) · First listed September 24, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 24 min ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://mcp.frontdeskreview.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 623ms. Worked in 100% of checks over 30 days.
Screening · September 24, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 19
list_sectionsEnumerate 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 search_vendorsSearch 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_sectioncompareCompare 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 unget_normalized_pricingEffective 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 meaninget_benchmarkPer-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 find_bestAnswer '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. Conjunlist_coverageWhat 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/catawhats_changedRecent 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 fromget_price_historyThe 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 get_independent_test_coverageThe 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, witprice_moversRecorded 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. Retvolatility_for_entityHow 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,most_volatile_in_categoryWithin 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 'list_product_categoriesEnumerate 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 search_productsSearch 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 + accessedAcompare_productsCompare 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 attribufind_productsAnswer '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-filist_cost_decodersList 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 vendget_cost_decoderThe 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 (Recent checks
Link
https://mcp.frontdeskreview.com/mcpQuestions about The Front Desk Review in Muse
How do I connect The Front Desk Review to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use The Front Desk Review to help me. It is a free service with an MCP server at https://mcp.frontdeskreview.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is The Front Desk Review working right now?
At the last check (September 28, 2026, 08:46 UTC) the endpoint was working, answering in 623ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is The Front Desk Review safe to connect to Muse?
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can The Front Desk Review do in Muse?
It exposes 19 tools, including list_sections, search_vendors, compare, get_normalized_pricing. For example, you could ask Muse: "Find the cheapest HIPAA-compliant AI receptionist for my medical practice."
Follow The Front Desk Review
Made this app? Claim it or get a status badge
Is this yours?
This listing was added from public sources (Found in the official MCP Registry (com.frontdeskreview/front-desk-review-data)). If you build The Front Desk Review, claim it to correct the details and get your badge.
Paste this on your site or README. It always shows the latest check.
<a href="https://musedirectory.ai/connector/the-front-desk-review"><img src="https://musedirectory.ai/badge/the-front-desk-review.svg" alt="The Front Desk Review on musedirectory.ai" width="236" height="40"></a>