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gomarble-ai/facebook-ads-mcp-server

by Various

🐍 ☁️ - MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.

G

MCP

gomarble-ai/facebook-ads-mcp-server

Added 1 June 2026

Overview

This MCP server provides a standardized interface to the Facebook Ads API, allowing programmatic access to ad data and management features. It is written in Python and implements the Model Context Protocol for integration with compatible clients.

Best for

Best for
Developers building MCP-based tools that need programmatic access to Facebook Ads data and management

Use cases

  • Automating Facebook Ads reporting and data extraction
  • Managing ad campaigns and ad sets programmatically
  • Integrating Facebook Ads data into MCP-compatible tools and workflows

Notes

This MCP server provides a standardized interface to the Facebook Ads API, allowing programmatic access to ad data and management features. It is written in Python and implements the Model Context Protocol for integration with compatible clients.

326 stars on GitHub. Last updated 2025-08-21. Licensed MIT.

Use cases

  • Automating Facebook Ads reporting and data extraction
  • Managing ad campaigns and ad sets programmatically
  • Integrating Facebook Ads data into MCP-compatible tools and workflows

Pros

  • Offers a standardized MCP interface for Facebook Ads, simplifying integration
  • Written in Python, making it easy to extend and customize
  • Open source with an active community (326 stars) for support and contributions

Cons

  • Requires Facebook Ads API credentials and proper setup, which can be complex
  • Limited to clients that support the Model Context Protocol
  • May not cover all Facebook Ads API features, depending on implementation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Offers a standardized MCP interface for Facebook Ads, simplifying integration
  • Written in Python, making it easy to extend and customize
  • Open source with an active community (326 stars) for support and contributions

Cons

  • Requires Facebook Ads API credentials and proper setup, which can be complex
  • Limited to clients that support the Model Context Protocol
  • May not cover all Facebook Ads API features, depending on implementation
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