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Meta-ads-analyzer to Marketing section MCP Server

@shibanshu12

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shibanshu12

Submitted by

Shibanshu Jha

About Meta-ads-analyzer to Marketing section MCP Server

Performance marketing diagnostics MCP server for Meta Ads. 15 tools for spend leak detection, creative fatigue analysis, audience decay monitoring, benchmarking, and custom SQL queries. Read-only SQLite security by default.

#meta-ads#facebook-ads#marketing#performance-marketing#analytics#advertising

Meta-ads-analyzer to Marketing section MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "meta-ads-analyzer": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "meta-ads-analyzer",
        "meta-ads-analyzer"
      ],
      "env": {
        "META_ADS_DB_PATH": "/path/to/your/meta_ads_data.db"
      }
    }
  }
}

Meta-ads-analyzer to Marketing section MCP Server tools

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Overview

What is Meta-ads-analyzer?

An MCP server that turns your Meta Ads data into a conversational analytics layer. It stores historical campaign data locally and lets you query it with natural language via Claude. Built for advertisers and media buyers who need deeper campaign intelligence than Ads Manager charts provide.

How to use Meta-ads-analyzer?

Install pip install meta-ads-analyzer, then add the server to your Claude Desktop config with the META_ADS_DB_PATH environment variable pointing to a SQLite database. Optionally pull your own Meta Ads data using the provided pipeline and your API credentials, or test immediately with included sample data.

Key features of Meta-ads-analyzer

  • Creative fatigue detection (frequency >3 + declining CTR)
  • Audience decay identification (frequency <2 + dropping CVR)
  • Spend leaks analysis (>40% budget at <1.5x ROAS)
  • Retargeting cannibalization detection
  • Placement and device performance breakdowns
  • Custom SQL queries and data health checks

Use cases of Meta-ads-analyzer

  • Identify fatigued creatives to refresh ad copy proactively.
  • Find spend leaks to reallocate budget toward profitable campaigns.
  • Analyze demographic, country, and hourly performance patterns.
  • Automate daily data pulls with GitHub Actions for ongoing analysis.
  • Compare week-over-week trends and diagnose audience or creative issues.

Frequently asked questions

1

How does it differ from other Meta Ads MCP tools?

This server focuses on historical analysis and marketing intelligence (e.g., fatigue, decay, leaks), not live campaign management. It works offline and includes sample data for testing.

2

What are the runtime dependencies?

Requires Python 3.10+, a Claude Pro or Max subscription (MCP servers only work with Claude Desktop, Claude Code, or Claude.ai), and optionally

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