Store listings & artwork
Capture default listings and artwork. Use them as source material for listing reviews, positioning research and creative comparisons.
APPlyzer MCP
App store intelligence.
In your AI workflow.
Give your AI assistant the app store context it needs. APPlyzer MCP connects store listings, creative research and your existing analytics to the conversations where you work.
20 successful requests per day on Free. 100 on Pro.
One connection. More context.
Your AI assistantYour questions. Your workflow.
APPlyzer MCPApp store data for your AI tools
MCPStore listingsListings & artwork
Creative researchExtended with Pro
Your workspaceManagement with Pro
Free to explore. Pro to go deeper.
From question to context
Your assistant. APPlyzer’s data.
MCP stands for Model Context Protocol, a standard that lets AI applications work with external tools and data. APPlyzer brings app store research into that connection, with access based on your plan.
A wider creative view
Explore listings, Custom Product Pages (CPPs), Custom Store Listing (CSL) candidates, events, ads and iOS A/B tests, alongside creative history.
Your existing workspace
Work with existing app and keyword analytics, and use workspace management through MCP to connect research with your day-to-day work.
Service details
Start free. Go deeper with Pro.
These are the MCP request allowances and capabilities for each APPlyzer plan.
| MCP service | Free | Pro More possibilities |
|---|---|---|
| Successful requests per day | 20 | 100 |
| Captured store data | Default listings and artwork | Listings, CPPs, CSL candidates, events, ads and iOS A/B tests |
| Creative history | No | Yes |
| Existing app/keyword analytics | No | Yes |
| Workspace management | No | Yes |
CPPs: Custom Product Pages. CSL: Custom Store Listing.
See subscription pricesBest practices
Better context. More useful answers.
A focused brief helps your assistant retrieve the right data and turn it into a useful next step.
Name the app and market
Provide the app’s store URL or identifier, the store, country and language. Add a date range when working with analytics or creative history.
Start with one clear question
Begin with one app, a small set of competitors or a specific creative question. Review the first result before widening the research.
Keep comparisons consistent
Use the same store, market, language and period across apps. Ask the assistant to call out differences in coverage before drawing conclusions.
Ask for the evidence
Request source references and capture dates where available. Keep observed data, estimates and the assistant’s interpretation clearly labelled.
Make each request count
Define the apps and fields you need upfront, and reuse results already returned in the conversation. A single prompt can lead to multiple tool requests.
Specify the output you need
Ask for a comparison table, a short list of findings or a prioritised action plan. For workspace work on Pro, specify the target workspace and the exact changes you want.
Try a focused brief
Three ways to start the conversation.
Replace the bracketed details with your own app and market. Available results depend on your plan and the data returned by the service.
Free & Pro
Review a store listing
Use APPlyzer to capture the default listing and artwork for [app store URL] in [country] and [language]. Summarise the app’s positioning and creative themes. Include source references and capture dates where available, and flag missing data.
With Pro
Compare creative strategies
Use APPlyzer to compare available store creatives for [app A] and [app B] in [store] and [country]. Include CPPs, events and ads where available. Use creative history for [date range] to describe changes, then separate observed differences from hypotheses.
With Pro
Review existing keyword data
Use my existing APPlyzer app and keyword analytics for [app] in [country] over [date range]. Summarise the available changes in a table, flag gaps in the data, and suggest three follow-up questions. Keep this review read-only.
Get connected
Bring APPlyzer into your workflow.
Use an AI application that supports MCP. Connection settings depend on the application and the APPlyzer access available to your account.
Ask about MCP setupChoose your AI application
Check that your assistant supports adding an MCP service.
Get your connection details
Contact APPlyzer for the service connection and sign-in instructions for your application.
Start with a small research task
Try one app’s default listing and artwork, then build on the results with the examples above.
A few useful details.
How does MCP differ from APPlyzer Chat?
MCP connects APPlyzer data and tools to a compatible external AI application. APPlyzer Chat is APPlyzer’s own AI research assistant.
Can I use creative history on the Free plan?
Free includes default listings and artwork, with 20 successful requests per day. Creative history, existing app/keyword analytics and workspace management are available on Pro, with 100 successful requests per day.
Will every app have every type of store data?
The plan comparison describes the types of data you can access. Availability varies by app, store and market. Ask your assistant to report missing data explicitly and distinguish a missing result from a confirmed absence.
