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Appfigures logo
Health: ActiveRecent health check succeeded.Last checked 10/12/2026, 7:16:42 AM

Appfigures

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository20 GitHub StarsTotal stargazers on GitHub for the source repository (20 stars).Visit Website
app-analyticsasomarket-intelligenceapp-storereviews

Query Appfigures app metrics, store data, catalog fields, audience insights, and reviews through MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "appfigures": {
      "command": "npx",
      "args": [
        "-y",
        "@appfigures/cli"
      ],
      "env": {
        "APPFIGURES_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The Appfigures MCP server connects MCP clients to Appfigures through the local CLI and exposes app-intelligence commands over stdio. It can search apps, query metrics, inspect store listings and rankings, analyze catalog segments, examine audiences, and work with app reviews. Authentication uses stored credentials or the APPFIGURES_API_KEY environment variable. Reach for it when an agent needs Appfigures data for app research, market analysis, ASO, or review analysis.

Use cases

•Research competing apps across major app stores
•Compare downloads, revenue, rankings, and other metrics
•Analyze app catalog segments by filters and fields
•Inspect store listings, audience data, and review trends

Key features

•App search and tracked-app lookup
•Catalog filtering and aggregation
•Multi-dimensional metrics queries
•Store rankings, charts, and listings
•Audience demographics and cross-usage
•App store review analysis

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Appfigures.

Extracted Tool Capabilities
App search and tracked-app lookup
Catalog filtering and aggregation
Multi-dimensional metrics queries
Store rankings, charts, and listings
Audience demographics and cross-usage
App store review analysis

How Appfigures works

What Appfigures MCP server does

The Appfigures MCP server exposes Appfigures app analytics and market-intelligence operations as tools for MCP-compatible clients. It runs through the af mcp CLI command and communicates over stdio, so an MCP client starts the process locally and sends tool requests to it.

The available command groups cover app discovery, catalog exploration, numeric metrics, store data, audience information, and reviews. App search returns unified app records and store listings, while app lookup can show metadata and the data available for tracked apps. Explorer operations work across millions of products on Apple, Google Play, Amazon, and other major stores, with fields covering identity, availability, categories, ratings, ranks, estimates, SDKs, demographics, and related apps.

How it works

Install or invoke the npm package, authenticate with Appfigures, and register af mcp in the MCP client configuration. The server uses the CLI’s authenticated session and makes the corresponding Appfigures operations available to an agent. A globally installed CLI can be launched as af; clients can instead run the package with npx -y @appfigures/cli mcp.

Metrics queries can target numeric datasets for one or more apps and can group results by up to two dimensions. Country, device type, date range, and app-selection filters can narrow a query. Explorer queries support filtering and sorting, while aggregate queries return counts, averages, minimums, maximums, or histograms rather than individual product records.

Store tools provide rank histories, category charts, category IDs, featured placements, and localized listing data. Audience tools cover estimated age and gender distributions and cross-usage. Review tools support reading and working with iOS and Google Play reviews, including filters such as rating, date, country, version, and tracking relationship.

Setup and configuration

The Appfigures MCP server requires Node.js 22 or newer. Run npm install -g @appfigures/cli for a global installation, or use npx without installing the package. Authenticate interactively with af auth login --interactive, or complete the authorization URL and code flow with af auth login followed by af auth login --code <code>.

Authentication normally saves the token in the operating system credential manager: macOS Keychain, Windows Credential Manager, or Linux Secret Service. For unattended or headless use, set APPFIGURES_API_KEY to a personal access token created from the Appfigures developer keys page.

A basic client entry uses command npx and arguments -y, @appfigures/cli, and mcp. Add APPFIGURES_API_KEY under the client’s env object when the process should not depend on stored credentials. Claude Code can register the server with claude mcp add appfigures -- npx -y @appfigures/cli mcp.

Tools and capabilities

The Appfigures MCP server supports these functional areas:

  • Find, inspect, and list tracked apps.
  • Search and aggregate the broader app catalog.
  • Discover catalog fields and available numeric datasets.
  • Query metrics across apps, dates, countries, and device types.
  • Inspect store ranks, charts, categories, featured placements, and listings.
  • Read audience demographics and app cross-usage.
  • Search, filter, summarize, and reply to app store reviews.

Limitations and notes

Some operations depend on the user’s Appfigures account and access level. Metrics queries without an app filter cover the apps tracked by the account. Store listing requests operate on one storefront product and one locale at a time. App identities can be unified across storefronts, but store-specific operations may require the numeric product ID for a single storefront.

Explorer and metrics results are structured for analysis rather than general app records: explorer aggregation returns summary statistics, and metrics returns a nested partition tree. The CLI documentation identifies available datasets and catalog-field access levels, so agents may need to inspect those descriptions before constructing a query.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
20
Stargazers on the source repository.
npm downloads
1.6k
Package downloads in the last 30 days.
Last commit
4d ago
Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Appfigures

Appfigures is an MCP server that connects MCP clients to Appfigures app analytics and market-intelligence data. Its main tools search apps, query metrics, explore catalogs, inspect store listings and rankings, analyze audiences, and read or work with app store reviews through the local CLI.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
ClientsClaude Code, Claude Desktop, Cursor
Last updatedOct 9, 2026
16/16 checks healthy over the last 64d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars20
GitHub Star CountTotal stargazers on GitHub representing community popularity (20 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 9, 2026
npm downloads1,604/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
48Quality signal: Fair · 48/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8d ago via OSV.dev · @appfigures/cli (npm)

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