# The Front Desk Review Muse connector From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta. ## The Front Desk Review Compare prices and specs across 4,764 products and software vendors with sourced pricing history and independent test co - Record: https://musedirectory.ai/connector/the-front-desk-review - Category: Research & Data - Developer: frontdeskreview.com (https://frontdeskreview.com/connect/) - Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse. - Health: Working, 623ms, checked 2026-09-28T08:46:03Z - Endpoint: https://mcp.frontdeskreview.com/mcp - Auth: No account needed; Pricing: unknown - Screening: Screened, no issues found (2026-09-24T13:51:35Z) - Source: Found in the official MCP Registry (com.frontdeskreview/front-desk-review-data) https://registry.modelcontextprotocol.io/v0/servers?search=com.frontdeskreview%2Ffront-desk-review-data 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. Example request: "Find the cheapest HIPAA-compliant AI receptionist for my medical practice." How to connect: 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. Tools: - list_sections: 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 - search_vendors: 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_section - compare: 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 un - get_normalized_pricing: 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 meanin - get_benchmark: 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 - find_best: Answer 'best for ' and 'cheapest ' 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. Conjun - list_coverage: 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/cata - whats_changed: 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 - get_price_history: 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 - get_independent_test_coverage: 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, wit - price_movers: 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. Ret - volatility_for_entity: 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, - most_volatile_in_category: 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 ' - list_product_categories: 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 - search_products: 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 + accessedA - compare_products: 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 attribu - find_products: Answer 'best under $N' and 'which has the most ' 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-fi - list_cost_decoders: 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 vend - get_cost_decoder: 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 ( Screening checks: - MCP handshake: pass (Answered in 775ms) - Domain against threat feeds (Cloudflare security DNS): pass (mcp.frontdeskreview.com, frontdeskreview.com not flagged) - Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published) - Hidden instructions or invisible characters in tool text: pass (19 tools read, nothing found) - Inputs asking for passwords, card numbers or seed phrases: pass (None found) - Domain and redirects: pass (Domain registered 105 days ago) - AI review of purpose and tool behavior: pass (No concerns)