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Meta Ads MCP
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Meta Ads MCP

Meta Ads MCP is a server based on the Model Context Protocol, used to interact with the Meta Advertising API through a standardized interface, enabling AI models to access, analyze, and manage Meta advertising campaigns, including obtaining performance data, visualizing advertising creativity, and providing strategic suggestions.
MarketingArtificial intelligence chatbots#Advertising analysis#AI management#Meta integration#Marketing optimization.Python
2.5 points
35

What is Meta Ads MCP?

This is a bridge tool that connects AI assistants with the Meta Advertising API, allowing you to query advertising data, get optimization suggestions, and even manage advertising campaigns through natural language. It adopts the Model Context Protocol (MCP) standard and is compatible with various AI assistants such as Claude and Cursor.

How to use Meta Ads MCP?

Simply install the tool and connect your Meta advertising account, and you can query advertising performance, get optimization suggestions, or manage campaigns in any MCP-compatible AI assistant using natural language. All modification operations require a second confirmation to ensure security.

Applicable scenarios

Suitable for advertisers and marketers who need to quickly analyze advertising performance; teams that want to use AI to automatically monitor advertising indicators; those who need data-driven optimization suggestions to improve advertising effectiveness.

Main features

Advertising campaign analysisAI automatically analyzes the performance of advertising campaigns and identifies high/low-efficiency ads
Creative feedbackGet improvement suggestions for advertising copy, images, and calls to action
Automatic monitoringSet thresholds for key indicators and receive automatic alerts when there are abnormalities
Cross-platform supportManage ads on Meta platforms such as Facebook and Instagram simultaneously

Advantages and limitations

Advantages
No need to learn complex APIs. You can query advertising data using natural language.
AI provides actionable optimization suggestions rather than just raw data.
All modification operations require a second confirmation to avoid accidental operations.
You can use it in multiple AI assistants with a single authentication.
Limitations
You need to create a Meta developer application for authorization.
Some advanced advertising features may require direct use of Meta Ads Manager.
The free version of the Meta API has call frequency limits.

How to use

Install the tool
Install the meta-ads-mcp package via pip or uv
Create a Meta developer application
Create an application on the Meta developer platform and add Marketing API permissions
Configure the AI client
Configure the MCP server information in clients such as Claude or Cursor
Start using
Query or manage ads using natural language in the AI client

Usage examples

Analyze advertising performanceLet AI analyze the ROAS of each ad group in the past 30 days and find the best and worst-performing ads
Optimize advertising copyGet optimization suggestions for existing advertising copy

Frequently Asked Questions

What permissions are required to use it?
Will ad modifications take effect immediately?
Which AI clients are supported?

Related resources

MCP Protocol official website
Official documentation for the Model Context Protocol
Meta developer platform
Create a Meta developer application
GitHub repository
Project source code
Installation
Copy the following command to your Client for configuration
"mcpServers": {
  "meta-ads": {
    "command": "uvx",
    "args": ["meta-ads-mcp", "--app-id", "YOUR_META_ADS_APP_ID"]
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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