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Facebook Ads MCP Server

Created By
gomarble-ai8 months ago
The Facebook Ads MCP Server offers robust Facebook Ads integration, featuring account listing, detailed retrieval of campaigns, ad sets, ads, and creatives, along with performance insights and change history logs.
Content

Unlock Deeper Facebook Ads Insights: Powered by AI & MCP

Stop Clicking, Start Asking. Connect your AI assistant (Cursor, Claude, etc.) directly to your Facebook Ads data with this powerful MCP Server.

Instantly get answers like:

  • "Show me my top 5 campaigns by ROAS last month?"
  • "Compare CTR for ad sets A vs. B over the last 7 days."
  • "What was the total spend breakdown by age and gender for campaign 'Summer Sale'?"
  • "Who paused ad set 'Ad Set - Leads Q3' yesterday?"

Why You Need This:

  • AI-Powered Analysis: Query your ads data using natural language via your AI assistant.
  • Deep Data Access: Go beyond basics – campaigns, ad sets, ads, creatives, insights, history.
  • Granular Insights: Fetch performance with custom dates, breakdowns (age, platform, etc.), filters & attribution.
  • Track Changes: See who changed what and when (get_activities_...).
  • Easy Setup: Standard Python, quick to deploy.

Quick Start Guide:

  1. Prerequisites: Python 3.10+, Facebook Access Token (ads_read permission).
  2. Setup:
    • (Optional) Create Python virtual environment (python3 -m venv venv && source venv/bin/activate)
    • Install: pip install -r requirements.txt
  3. Prepare Server:
    python server.py --fb-token YOUR_FACEBOOK_ACCESS_TOKEN
    
  4. Connect AI Client: Add to MCP config (adjust paths):
    {
      "mcpServers": {
        "fb-ads-mcp-server": {
          "command": "/path/to/venv/bin/python", // Or just "python"
          "args": [ "/path/to/server.py", "--fb-token", "YOUR_TOKEN" ]
        }
      }
    }
    
  5. Restart your AI client.

Example Interactions:

This server gives your AI tools to talk to the Facebook Ads API. Ask questions like:

  • Get Objects:
    • "Get details for campaign 1234567890 using fields: name, objective, effective_status."
    • "Fetch ad creative 2384xxxxxxxxx and show its image_url and body."
  • List Objects:
    • "List all ads in ad set 6123xxxxxxxxx with effective_status ACTIVE."
    • "Show me all campaigns in account act_987654321."
  • Analyze Performance:
    • "What was the spend, impressions, and clicks for account act_987654321 last_30d?"
    • "Get insights for ad 6789xxxxxxxxx broken down by publisher_platform for the last 7 days."
    • "Fetch campaign insights for 1234567890 with time_increment monthly for the last year."
  • Audit History:
    • "Show me the activity log for ad set 4455667788 using time_range since 2024-01-15 until 2024-01-16."
    • "What changes happened in account act_987654321 today?"
  • (Behind the Scenes) Paginate: If results are large, the AI can use fetch_pagination_url to get the next page automatically or upon request.

(See readme.md or server.py docstrings for the full list of tools and their detailed parameters!)


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