Shopify app research comes down to 11 tools — and with the AppAnalizer MCP, Claude drives all of them for you. You never call a tool by name. You ask a question in plain English; Claude picks the right tool, reads the result, and follows the guidance the server sends back with every answer. But knowing what each tool does changes the questions you ask. This guide walks through all 11: what each one returns, when it is the right move, and a prompt that reliably triggers it. If you have not connected the MCP yet, the two-minute setup is in the connection guide — everything below assumes you are connected.
Discovery: find_app_ideas and top_apps
find_app_ideas the opinionated scout
find_app_ideas is the core of the product. It returns up to ten qualified ideas: active apps with real traction that a solo developer could still compete with — capped at 1,000 reviews, rating 4.0+, launched recently enough to matter. Since the v2 release you can point it precisely: include or exclude any of the 120+ categories, target features (the level below categories), search by keyword, and — most importantly — pick an angle:
- velocity (default) — proven demand, ranked by reviews per month.
- recent_growth — what is moving right now, ranked by the last 30 days.
- young_promising — young apps growing fast in niches with few competitors. This is the "someone just proved the demand and there is still room" angle.
- underserved — demand rising faster than supply, computed from category momentum divided by the number of apps serving it.
Every idea ships with signals that argue its case — "only 68 apps in its narrowest tag", "category trending: +317 reviews (1m)", "free app — niche not yet monetized" — plus two numbers worth reading every time: niche_density (how many apps share its narrowest tag) and category_momentum (review growth of its category this month).
Ask Claude"Find app ideas in Shipping with the young_promising angle — young apps alone in their niche."
top_apps the neutral leaderboard
top_apps answers a different question: not "what should I build" but "who is actually winning". No opportunity filters — it ranks the top 10 apps of any category, feature, or keyword by growth (absolute and percentage), total reviews, rating, or launch date. It also accepts a custom date window, so "which app grew fastest between June 1 and August 1" is one call. Both growth numbers matter: an app going from 1,000 to 2,000 reviews grew +100%, but one going from 40 to 500 grew +1,150% — the percentage view is how small apps that are taking off get on your radar (results on tiny baselines carry a "small base" warning). It is also the fastest way to find an app's slug from its name.
Ask Claude"Which Shipping apps gained the most reviews in the last 30 days — show absolute and percentage growth."
Validation: analyze_niche, get_competitors, get_app_growth, niche_pain_points
analyze_niche the market snapshot
Before you fall in love with an idea, analyze_niche gives you the cold numbers for a keyword, category, or feature: app count, median entry price, launches per month over a year, 30-day review growth, and the top 5 apps. The v2 release added two blocks that change decisions: concentration (the leader's share of all reviews, distinct developers, and the percentage of apps with zero recent growth — a category can look crowded and be mostly dead) and pricing_landscape (free/freemium/paid mix plus price percentiles, so you know if everyone is at $9.99 and the high end is empty).
Ask Claude"Analyze the returns-and-exchanges niche: how concentrated is it, and what do apps charge?"
get_competitors who you would actually fight
Give get_competitors one app and it returns the ten closest rivals, matched by rarity-weighted category and feature overlap — sharing a niche tag that only 89 apps carry counts far more than both being tagged "Analytics" alongside 1,477 others. Each competitor comes with comparative signals against your reference: cheaper entry price, better rated, growing faster, more established. This is the reality check between "the niche looks open" and "here are the four apps a merchant would compare you against".
Ask Claude"Who are the direct competitors of the top loyalty app, and is any of them growing faster?"
get_app_growth spike or trend?
get_app_growth returns up to 24 months of an app's cumulative review counts — and, since v2, its rating trajectory month by month. The two questions it settles: is this app still growing, or was that a launch spike? And is the incumbent's rating slipping? A leader drifting from 4.8 to 4.2 is a niche with an opening, whatever its review count says. Review history starts on 2026-05-15, and the tool tells you so.
Ask Claude"Pull the growth history for that app — is it still accelerating, and how is its rating holding up?"
niche_pain_points what users actually complain about
New in v2 and the closest thing to a cheat code for positioning: niche_pain_points returns the latest 20 one- and two-star reviews for one app or a whole niche — raw text, dates, and whether the developer replied. Claude reads them and summarizes the recurring complaints; recurring complaints are your feature list. The scope is always stated honestly: the latest 20 negative reviews, not an exhaustive complaint census.
Ask Claude"What do users complain about in the returns niche? Summarize the recurring pains."
guidance block travels with every answer: suggested refinements, the question worth asking you, and the next validation step. It is why a session feels like working with an analyst rather than querying a database.Context: trends, categories, market stats, app profiles
Four smaller tools set the scene, plus one free health check. None of them will find your idea on their own — they are what you reach for to sanity-check a claim mid-conversation.
- get_trending_categories
- What is growing, from the precomputed trends rollup, over five periods (7d to 6m). Since v2 it accepts a
target, so "how is Shipping trending this month?" returns that single answer instead of the whole ranking. - list_categories
- The complete category list — 122 and counting, the old 100-item cap is gone — and, given a category, its features with app counts. The map you consult before narrowing a search.
- get_market_stats
- The store-wide baseline: total active apps and average rating, optionally for one category. This is the denominator behind every claim like "this niche rates above average".
- get_app
- One app's full sanitized profile: pricing plans, categories, growth deltas. Save it for finalists — it carries a low daily cap.
- ping
- Free health check: your plan, the quotas left today, and how fresh the data is. Costs nothing, answers instantly.
Ask Claude"List the features inside Cart customization with app counts, and tell me which are trending this month."
The guidance layer: why every answer talks back
Since the v2 release, every tool response (except ping) carries a guidance block computed server-side: refinements ("8 of 10 results are in Analytics — narrow with a feature?"), questions worth asking you ("which discovery angle fits you best?"), and the canonical next steps (validate with analyze_niche, check rivals with get_competitors, verify the curve with get_app_growth, mine complaints with niche_pain_points). That is why a session with the MCP feels like working with an analyst rather than querying a database: the server itself nudges Claude to refine, validate, and never present a raw batch as a final recommendation.
The same discipline shows up as hard limits: ten results per call, twenty negative reviews, per-tool daily caps, and a shared quota you can check with ping any time. The MCP is a discovery aid, not an export pipe — for raw filtering and CSV export, use the app explorer, and for the visual demand map, the categories view.
Ready to try it? The MCP is a Business-plan feature — connect it in two minutes via the guide, or see where it sits on pricing. For a full worked session — from first prompt to a defensible app idea — read the companion piece: a real research session with Claude.
See also: Find Shopify app ideas in Claude with AppAnalizer MCP · How to find a good Shopify app idea