App Store opportunity data for coding agents: surfaces unmet demand, paying markets and build briefs so an assistant can help pick and spec an app to build.
What you can do
Rank App Store opportunities by unmet demand, and find niches a solo developer could realistically build alone. Rank app categories by evidence that users already pay, and pull a full evidence dossier for a single app with score breakdown and complaint quotes. Generate a ready-to-build product specification formatted for a chosen AI coding agent. Search maintained, commercially reusable open-source projects for a niche, with license posture. Explain scoring formulas and limitations, and report local data coverage and the last ingest run.
When to use it
Useful when deciding what app to build next, checking whether a niche monetises, or turning a chosen opportunity into a build spec for a coding agent. Best suited to indie or solo developers doing App Store market research.
Requirements
Remote endpoint reached over streamable HTTP; no packages, environment variables or headers are declared. No authentication is declared.
Before you install
Tools generate product specifications and rankings from the server's own data; treat scores and diagnoses as advisory rather than verified market fact. No credentials, payments or write actions are declared.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.minradar%2Fminradar/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
Rank App Store opportunities in apps that already have a large user base but whose users are clearly unhappy (unmet demand). Returns a ranked table with tier, score, rating and scale. Use this first when deciding what app to build.
Find opportunities a single developer can realistically build: clear winnability plus an explicit single-user, local or offline core. Use when solo feasibility is the primary constraint.
Rank app categories by evidence that users already pay inside them: how many of its apps reach the store-wide Top-Grossing chart, how many charge upfront, paywall language in sampled reviews, and review depth. Call this before building to confirm a market monetises.
Parameterslimitstorefrontmin_rating_count
get_opportunity_brief
Full evidence dossier for one app: score breakdown, plain-language diagnosis, complaint themes with verbatim user quotes, review provenance, and matching open-source accelerators. Use after find_low_hanging_fruit to inspect a specific candidate.
Parametersapp_idrequiredstorefrontinclude_github
generate_app_brief
Produce a ready-to-build product specification for an opportunity, formatted for a specific AI coding agent (codex, claude, or cursor). Includes the wedge, the verbatim complaints to fix, verified open-source accelerators, and a verification plan.
Parametersapp_idrequiredtargetstorefront
search_open_source_accelerators
Find maintained, commercially reusable open-source projects for a niche, with license posture. Use to avoid rebuilding infrastructure and to check whether a dependency is safe to ship.
Parametersgenrelimittheme
explain_method
Explain the scoring formulas, weights, and the honest limitations of the data. Use when a user questions the numbers.
Takes no parameters.
market_stats
Report local data coverage (apps, reviews, chart snapshots) and the last ingest run.
Takes no parameters.
Version history
1
v1.0.0LatestSep 18, 2026
Score
75%
75% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
License10 pts
Declare a license in the repository or the registry entry.