pipeboard-co/meta-ads-mcp

Overview

This is an MCP (Model Context Protocol) server written in Python that provides programmatic access to Facebook and Instagram Ads management. It allows AI assistants and automation tools to read, create, and modify Meta Ads campaigns via the standard MCP interface.

Best for

Best for
Developers building AI assistants or automation that need to control Meta Ads programmatically.

Use cases

• Automate ad campaign creation and updates from natural language prompts
• Retrieve performance metrics and status of existing Meta Ads campaigns
• Integrate Meta Ads management into custom AI workflow tools or chatbots

How to use

Tested with

Claude Desktop, Claude Code, Cursor, Cline, ChatGPT, Perplexity

Example client config

{\n  "mcpServers": {\n    "meta-ads-remote": {\n      "url": "https://meta-ads.mcp.pipeboard.co/"\n    }\n  }\n}

Notes

This is an MCP (Model Context Protocol) server written in Python that provides programmatic access to Facebook and Instagram Ads management. It allows AI assistants and automation tools to read, create, and modify Meta Ads campaigns via the standard MCP interface.

952 stars on GitHub. Last updated 2026-05-29.

Use cases

• Automate ad campaign creation and updates from natural language prompts
• Retrieve performance metrics and status of existing Meta Ads campaigns
• Integrate Meta Ads management into custom AI workflow tools or chatbots

Pros

• Open source with 952 GitHub stars indicates community interest
• Follows the Model Context Protocol for interoperability with MCP clients
• Python-based, making it easy to extend or debug for developers

Cons

• Requires Meta Ads API credentials and app review, adding setup overhead
• Dependent on MCP ecosystem; not usable outside MCP-compatible clients
• Documentation and examples may be limited for complex campaign configurations

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