App Store Connect MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@App Store Connect MCP Server List my apps on App Store Connect"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Unofficial App Store Connect MCP Server
An MCP server that gives AI assistants structured access to App Store Connect data. Built for ASO (App Store Optimization) analysis, download tracking, and performance monitoring.
The server returns agent-friendly JSON with natural-language summaries, pre-computed aggregations, and conversion rates — so an AI agent can interpret App Store data without needing domain-specific knowledge of Apple's raw report formats.
Table of Contents
Related MCP server: asc-mcp
Quick Start
Prerequisites
You need an App Store Connect API key. Create one at App Store Connect > Users and Access > Integrations > App Store Connect API.
Install
git clone https://github.com/Fourni-j/appstore-connect-MCP.git
cd appstore-connect-MCP
npm install
npm run buildConfigure your MCP client
Add to your MCP client config (e.g., claude_desktop_config.json):
{
"mcpServers": {
"appstore-connect": {
"command": "node",
"args": ["/path/to/appstore-connect-MCP/dist/index.js"],
"env": {
"ASC_KEY_ID": "your-key-id",
"ASC_ISSUER_ID": "your-issuer-id",
"ASC_PRIVATE_KEY_PATH": "/path/to/AuthKey_XXXX.p8",
"ASC_VENDOR_NUMBER": "your-vendor-number"
}
}
}
}Environment Variables
Variable | Required | Description |
| Yes | API key ID from App Store Connect |
| Yes | Issuer ID from App Store Connect |
| Yes | Path to the |
| For sales/downloads | Vendor number from Payments and Financial Reports |
First command
Ask your AI assistant:
"List my apps on App Store Connect"
Tools
list_apps
List all apps in the account. Returns each app's id, name, bundleId, and sku. The returned id is used as appId in all other tools.
Parameters: limit (optional, default 50, max 200)
get_app_metadata
Get localized metadata: title, subtitle, keywords, description, and promotional text for all locales. Useful for ASO review.
Parameters: appId (required)
get_analytics_report
Get analytics data for an app across five categories:
Category | Metrics |
| Impressions, page views, taps, conversion rates |
| Downloads by type, device, territory |
| Sessions, active devices |
| Framework adoption |
| Crashes, launch time |
Returns aggregated data per period by default, with totals and breakdowns by source/device/territory. For engagement, COMMERCE download data is automatically merged, including the conversion rate (Total Downloads / Unique Impressions) matching App Store Connect's definition exactly.
Set raw: true for granular per-territory/device/OS rows.
Always specify granularity (DAILY or MONTHLY). Without it, Apple mixes monthly and daily instances. MONTHLY covers completed months only; DAILY covers recent days. For a full picture, make two calls.
Parameters: appId (required), category (required), granularity (optional but recommended), startDate (optional), endDate (optional), raw (optional), limit (optional)
get_sales_report
Download and parse sales/installs reports as structured JSON. Apple's raw TSV column names are mapped to readable camelCase keys. Each row includes a productTypeLabel with a human-readable description.
Parameters: reportType (required), reportSubType (required), frequency (required), vendorNumber (optional — falls back to ASC_VENDOR_NUMBER), reportDate (optional)
get_app_store_versions
List app versions with their App Store state (READY_FOR_SALE, IN_REVIEW, etc.), creation date, and platform. Useful for correlating releases with metric changes.
Parameters: appId (required), limit (optional, default 10, max 50)
get_downloads_summary
Get first-time download counts aggregated by period. Automatically uses daily granularity for ranges under 32 days, monthly otherwise. Only counts new installs (excludes updates, re-downloads, IAPs, and subscriptions).
Parameters: appId (required), startDate (optional), endDate (optional)
get_customer_reviews
Get customer reviews and ratings for an app. Returns individual written reviews with aggregated statistics (average rating, star distribution), plus the official App Store rating from the iTunes Lookup API.
The App Store rating includes all ratings (silent star taps + written reviews) and varies by country — set storeCountry to get the rating for a specific market.
Parameters: appId (required), rating (optional, 1-5), territory (optional, 3-letter code like USA, FRA), sort (optional, default -createdDate), startDate (optional), endDate (optional), storeCountry (optional, 2-letter ISO code, default US), limit (optional, default 500, max 1000)
How Analytics Reports Work
Analytics reports use Apple's asynchronous reporting flow. This is different from the other tools — it doesn't return data from a single API call.
The flow:
Report request — The server creates an
ONGOINGanalytics report request for your appReport generation — Apple processes the request and produces report instances (one per time period)
Segment download — Each instance contains segments (gzipped TSV files) that the server downloads and parses
First-time setup: The very first call for a given app creates the report request and returns a "pending" status. Apple needs time (typically a few hours, sometimes up to 24h) to generate the initial reports. Subsequent calls return data immediately.
Why it can be slow: Even after initial setup, fetching analytics involves multiple chained API calls. For large date ranges with many instances, this can take 10-30 seconds.
See Apple's Analytics Reports documentation for the full API reference.
Response Format
All tools return JSON with an agent-friendly structure:
{
"summary": "APP_STORE_ENGAGEMENT analytics from 2026-02-01 to 2026-02-28: 28 periods...",
"status": "ready",
"granularity": "daily",
"dateRange": { "from": "2026-02-01", "to": "2026-02-28" },
"totals": { "Impression": 50000, "Page view": 8000, "Tap": 3200 },
"uniqueTotals": { "Impression": 40000, "Page view": 7000, "Tap": 2800 },
"conversionRates": {
"tapRate (Unique Taps / Unique Impressions)": "7.00%",
"pageViewRate (Unique Page Views / Unique Impressions)": "17.50%",
"conversionRate (Total Downloads / Unique Impressions)": "4.50%"
},
"downloads": {
"totalDownloads": 1800,
"firstTimeDownloads": 1500,
"redownloads": 300,
"updates": 500
},
"periods": [
{
"date": "2026-02-01",
"counts": { "Impression": 1800, "Page view": 290, "Tap": 115 },
"uniqueCounts": { "Impression": 1400, "Page view": 250, "Tap": 100 },
"conversionRates": { "...": "..." },
"bySource": { "App Store Browse": 900, "App Store Search": 700 },
"byDevice": { "iPhone": 1400, "iPad": 400 },
"downloads": { "totalDownloads": 60, "firstTimeDownloads": 50, "redownloads": 10 }
}
]
}{
"summary": "DAILY SALES/SUMMARY report for 2026-02-15: 12 rows.",
"totalRows": 12,
"truncated": false,
"data": [
{
"title": "My App",
"sku": "com.example.myapp",
"units": "5",
"customerPrice": "0",
"productType": "1",
"productTypeLabel": "Free or Paid App (Universal)",
"countryCode": "US",
"device": "iPhone"
}
]
}{
"summary": "App Store rating (US): 4.58 from 178 ratings. 42 written reviews (avg 3.26). Distribution: 5★=16, 4★=10, 3★=8, 2★=3, 1★=5.",
"appId": "123",
"storeRating": {
"averageRating": 4.58,
"ratingCount": 178,
"currentVersionAverageRating": 4.58,
"currentVersionRatingCount": 178
},
"totalReviews": 42,
"averageRating": 3.26,
"ratingDistribution": { "1": 5, "2": 3, "3": 8, "4": 10, "5": 16 },
"truncated": false,
"reviews": [
{
"id": "review-id",
"rating": 5,
"title": "Great app!",
"body": "Love the barcode scanning feature.",
"reviewerNickname": "user123",
"territory": "USA",
"createdDate": "2026-03-01T00:00:00Z"
}
]
}{
"error": "ASC_VENDOR_NUMBER environment variable is not set. Find your vendor number in App Store Connect > Payments and Financial Reports."
}Error responses also set isError: true on the MCP result object.
Local Testing
Run tool handlers directly against the real App Store Connect API:
# Set environment variables first
export ASC_KEY_ID="your-key-id"
export ASC_ISSUER_ID="your-issuer-id"
export ASC_PRIVATE_KEY_PATH="/path/to/AuthKey_XXXX.p8"
export ASC_VENDOR_NUMBER="your-vendor-number"
# Run all tools
npx tsx scripts/test-tools.ts
# Run a specific tool
npx tsx scripts/test-tools.ts list-apps
npx tsx scripts/test-tools.ts get-analytics-report
npx tsx scripts/test-tools.ts get-customer-reviewsDevelopment
npm run build # Compile TypeScript
npm test # Run tests (94 tests)
npm run test:watch # Watch mode
npm start # Start the MCP serverContributing
Contributions are welcome. Please open an issue first to discuss what you'd like to change.
License
MIT License — see LICENSE for details.
Available Tools
7 toolsget_analytics_reportA
Get analytics report data for an app. Categories: APP_STORE_ENGAGEMENT (impressions, page views), COMMERCE (purchases, sales), APP_USAGE (sessions, active devices), FRAMEWORK_USAGE, PERFORMANCE (crashes, launch time). Returns aggregated metrics by default (totals + breakdown by source, device). Set raw=true for granular per-territory/device/OS rows. IMPORTANT: always set granularity (DAILY or MONTHLY) — without it, Apple returns a mix of monthly and daily instances which is misleading. MONTHLY only covers completed months; DAILY only covers recent days (Apple rolls up older daily data into monthly). To get a full picture spanning past months and the current month, make two calls: one MONTHLY and one DAILY. Requires appId from list_apps.
Inputs: appId (required), category (required), raw, limit, +3 more.
get_app_metadataA
Get localized metadata for an app: title, subtitle, keywords, description, and promotional text for all locales. Useful for ASO review. Requires appId from list_apps.
Inputs: appId (required).
get_app_store_versionsB
List app versions with their App Store state (READY_FOR_SALE, IN_REVIEW, etc.), creation date, and platform. Useful to correlate releases with metric changes. Requires appId from list_apps.
Inputs: appId (required), limit.
get_customer_reviewsA
Get customer reviews and ratings for an app. Returns individual written reviews with aggregated rating statistics (average rating, star distribution). Also fetches the official App Store rating (average + count) from the iTunes Lookup API — set storeCountry (2-letter ISO code, default 'US') to get ratings for a specific country. Written reviews can be filtered by star rating, territory (3-letter code like 'USA', 'FRA'), and date range. Sorted by newest first by default. Requires appId from list_apps.
Inputs: appId (required), sort, limit, rating, +4 more.
get_downloads_summaryA
Get first-time download counts aggregated by period. Automatically uses daily granularity for ranges under 32 days, monthly otherwise. Only counts new installs (excludes updates, re-downloads, IAPs). Requires ASC_VENDOR_NUMBER env var. Requires appId from list_apps.
Inputs: appId (required), endDate, startDate.
get_sales_reportA
Download and parse App Store Connect sales/installs reports. Returns structured rows with fields: title, units, customerPrice, developerProceeds, countryCode, device, productType, etc. Vendor number is auto-resolved from ASC_VENDOR_NUMBER env var if not provided.
Inputs: frequency (required), reportType (required), reportSubType (required), reportDate, +1 more.
list_appsA
List all apps in the App Store Connect account. Returns each app's id, name, bundleId, and SKU. Use the returned id as appId in all other tools.
Inputs: limit.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Each tool targets a distinct aspect of App Store Connect data: app listing, analytics, metadata, versions, reviews, downloads, and sales. There is no overlap in functionality; descriptions clearly differentiate them.
All tool names follow a consistent verb_noun pattern: 'get_' for specific data retrieval and 'list_' for enumeration. The pattern is predictable and uniform.
Seven tools cover the essential read-only operations for an App Store Connect server. The count is well-scoped, covering key data categories without being overwhelming.
The tool set provides comprehensive coverage for retrieving app data: analytics, metadata, versions, reviews, downloads, and sales. There are no obvious gaps given the read-only scope.
Maintenance
Related MCP Connectors
ASOMobile MCP server: App Store Optimization data for the iOS App Store and Google Play inside AI agents. 29 tools: keyword research (traffic, competition, suggestions), app keyword indexing, competitors and keyword gaps, top charts and chart history, reviews with rating summaries, Apple Search Ads insights, organic download estimates and Keyword Monitor rank tracking, plus six ASO skills (app audit, keyword research, competitor audit, localization check, review analysis, ASA planning). Remote streamable HTTP with OAuth 2.1 (DCR + PKCE); sign in with your ASOMobile account.
ASO analytics and App Store optimization tools for indie iOS developers and AI agents.
MCP server that lets your AI assistant build and deploy apps, hosting each one at a live URL.
Hosted iOS app intelligence and creative research MCP server.
Related MCP Servers
- AlicenseAqualityCmaintenanceAn open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.719 PyPIMIT
- AlicenseBqualityCmaintenanceAn unofficial MCP server for the App Store Connect API that enables automation of app management, reviews, TestFlight, analytics, and release processes through natural language.63186 npm2MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for managing App Store Optimization: add apps, track keywords, pull health reports, spy on competitors, find keyword opportunities, and write AI copy suggestions.8MIT
- FlicenseNot gradedqualityBmaintenanceMCP server for App Store Optimization, enabling AI agents to read rankings, keywords, competitors, reviews, and revenue, and manage metadata with human approval.11-