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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server for mobile growth & user acquisition, connecting LLMs to a curated knowledge base of ad optimization insights and analytical skills for subscription apps.

README.md

mobile-growth-mcp

![npm](https://www.npmjs.com/package/mobile-growth-mcp)

MCP server for mobile growth & user acquisition. Connects your LLM to a curated knowledge base of ad optimization insights and a library of analytical skills (campaign audits, fatigue detection, weekly diagnostics). Focused on subscription apps.

For Meta Ads data, use Meta's official Meta Ads MCP / AI connector. The skills here interpret what it returns. This MCP intentionally does not ship Meta API tools — keeping users on the official path.

For Google Ads, this MCP includes direct API integration (your tokens stay on your machine).

Quick Start

Claude Desktop

  1. Open the config file:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  1. Add this to the file (create it if it doesn't exist):
{
  "mcpServers": {
    "mobile-growth": {
      "command": "npx",
      "args": ["-y", "mobile-growth-mcp"],
      "env": {
        "API_KEY": "me_YOUR_KEY"
      }
    }
  }
}
  1. Replace me_YOUR_KEY with the API key from your account admin.
  2. Restart Claude Desktop.
  3. To analyze Meta data, also install Meta's official Meta Ads MCP — its connector data flows through your LLM into the skills here.

Note: Use the JSON config file, not the "Add custom connector" UI in Claude Desktop. That UI is for remote servers — this MCP runs locally.

Other clients

| Client | Config file | |--------|------------| | Claude Code | .mcp.json in your project root | | Cursor | .cursor/mcp.json | | Codex | MCP config in your Codex setup |

Same JSON format as above.

Alternative: CLI args

{
  "mcpServers": {
    "mobile-growth": {
      "command": "npx",
      "args": ["-y", "mobile-growth-mcp", "--api-key=me_YOUR_KEY"]
    }
  }
}

No API key?

The server still starts — you get the Google Ads tools (if configured) and a connection_status tool that explains what's missing and how to fix it.

How It Works

The MCP server runs as a local process on your machine, started by your MCP client (Claude Desktop, Cursor, etc.).

  • Knowledge base (remote) — curated expert insights hosted on our server, accessed via your API key
  • Google Ads API (local) — calls happen directly from your machine using your tokens
  • Meta Ads data — sourced from Meta's official AI connector, not from this MCP
Your machine                          Our server
+---------------------------+         +------------------+
| MCP client (Claude, etc.) |         |                  |
|   |                       |         |  Knowledge base  |
|   v                       |  API    |  (insights,      |
| mobile-growth-mcp --------+--key--->|   search,        |
|   |                       |         |   embeddings)    |
|   |                       |         +------------------+
|   v
| Google Ads API (your tokens stay local)
|
| (Meta Ads data: comes via Meta's official AI connector,
|  not through this MCP)
+---------------------------+

Your ad platform tokens are used locally and are never sent to our servers.

What You Get

Knowledge base tools — search, browse, and retrieve expert insights on creative strategy, audience targeting, scaling, bid optimization, and more.

Google Ads API tools — pull campaigns, ad groups, assets, performance insights, and network mix directly from your Google Ads account.

Analytical skills (MCP prompts) — KB-grounded methodologies for ad fatigue, weekly performance, creative health, placement audits, audience composition, architecture reviews, campaign comparisons, attribution analysis, and full account audits. The Meta-flavored skills consume data from Meta's official AI connector or pasted CSVs.

Tools

| Tool | Description | |------|-------------| | connection_status | Check KB and Google Ads connection status; shows how to fix issues | | search_insights | Semantic + keyword hybrid search across curated insights | | list_insights | Browse all insights with optional filtering | | get_insight | Full content of a specific insight by slug or ID | | get_google_ads_campaigns | List Google App Campaigns with status, bid strategy, budgets | | get_google_ad_groups | List ad groups within Google App Campaigns | | get_google_assets | List creative assets with slot utilization audit | | get_google_insights | Performance metrics with network/device breakdowns | | get_google_network_mix | Detect Search ↔ Display ↔ YouTube traffic shifts | | get_google_asset_fatigue | Asset-level fatigue detection | | upload_google_image_assets | Upload image assets to Google Ads |

Report Prompts (Skills)

Each Meta-flavored prompt takes an ad_account_id and walks the LLM through a structured analysis. Data comes from Meta's official AI connector or pasted CSV exports.

| Prompt | Description | |--------|-------------| | ad-fatigue-report | Detect creative fatigue with daily granularity | | weekly-performance | Week-over-week health with Kast diagnostic framework | | creative-performance | Categorize ads: scaling / promising / fatiguing / dead weight | | audience-composition | Age × gender heatmap with CPA analysis | | architecture-review | Campaign structure evaluation | | audit-meta-account | Comprehensive account audit | | campaign-comparison | Side-by-side campaign comparison | | placement-audit | Detailed placement audit with waste quantification | | attribution-analysis | Conversion quality validation | | google-campaign-health | Google App Campaign WoW health check | | google-asset-performance | Google asset categorization by actual CPI | | google-network-audit | Search/Display/YouTube spend analysis | | google-architecture-review | Google App Campaign structure audit | | google-bid-strategy | Google bid strategy + signal volume evaluation |

All reports reference specific knowledge base insight IDs so recommendations are grounded in expert knowledge, not generic advice.

Resources

| URI | Description | |-----|-------------| | vocabulary://tags | Topic tags, applies_to tags, and platforms with counts | | instructions://getting-started | Full guide to tools, reports, and usage |

---

Development

Setup

git clone https://github.com/kubachour/mobile-growth-mcp.git && cd mobile-growth-mcp
npm install
npm run build

Environment

cp .env.example .env
# Fill in API_KEY (get from admin)
# For Google Ads tools: run `npx mobile-growth-mcp auth google` to set up
# For ingestion/admin: also set SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY

Adding Insights

  1. Create or edit JSON files in data/insights/
  2. Follow the schema in packages/shared/src/types.ts
  3. Run npm run ingest
  4. Embeddings are generated automatically server-side

Publishing

cd packages/mcp-server
npm version patch
npm publish --access public

Project Structure

packages/shared/       — Types, Supabase client
packages/mcp-server/   — MCP server (published as mobile-growth-mcp)
  src/google/          — Google Ads API client
  src/tools/           — All MCP tools (KB + Google Ads)
  src/resources/       — MCP resources (vocabulary, instructions)
packages/ingestion/    — CLI to validate & upsert insight JSONs
data/insights/         — Curated insight JSON files
skills/                — Skill markdown files (analytical methodologies)
supabase/migrations/   — SQL migrations
supabase/functions/    — Edge Functions (embed, search)

License

This project uses a dual license:

  • Code (everything except skills/) — MIT License
  • Skill prompts (skills/*.md) — CC BY-NC-SA 4.0 — you can read, learn from, and adapt them for non-commercial use, but you can't use them to build a competing commercial product

The curated knowledge base is not included in this repository.

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