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.
Overview
What is Facebook Ads MCP Server?
The Facebook Ads MCP Server is a powerful integration tool that allows users to connect their AI assistants directly to Facebook Ads data, enabling natural language queries for deeper insights into ad performance.
How to use Facebook Ads MCP Server?
To use the server, set up a Python environment, install the required packages, and run the server with your Facebook Access Token. Connect your AI client to the MCP configuration to start querying your ads data.
Key features of Facebook Ads MCP Server?
- AI-powered analysis of Facebook Ads data using natural language.
- Access to detailed information on campaigns, ad sets, ads, creatives, and performance insights.
- Ability to track changes and view history logs of ad performance.
- Easy setup with standard Python requirements.
Use cases of Facebook Ads MCP Server?
- Analyzing campaign performance metrics like ROAS and CTR.
- Fetching detailed insights based on custom date ranges and demographic breakdowns.
- Auditing changes made to ad sets and campaigns over time.
FAQ from Facebook Ads MCP Server?
- Can I use this server with any AI assistant?
Yes! The server is designed to work with various AI assistants like Cursor and Claude.
- What are the prerequisites for using the server?
You need Python 3.10+ and a Facebook Access Token with
ads_readpermission.
- Is there a limit to the queries I can make?
The server can handle a large number of queries, but performance may vary based on the complexity of the requests.