This project provides a Model Context Protocol (MCP) server designed to interact with the Facebook Marketing API, allowing AI assistants like Claude to manage and analyze Facebook ad campaigns, ad sets, audiences, and more.

• Campaign Management: Create, read, update, delete campaigns.
• Audience Management: Create custom and lookalike audiences, list audiences.
• Ad Set Management: Create ad sets (basic implementation).
• Analytics: Get campaign insights.
• AI Assistance: Generate prompts for campaign creation based on templates.

• Node.js (v18 or later recommended)
• npm (comes with Node.js)
• A Facebook App with access to the Marketing API
• A Facebook Ad Account ID
• An Access Token with ads_management and ads_read permissions

1. Clone the repository:

   git clone https://github.com/Tisik79/MCP-Facebook.git
   cd MCP-Facebook

2. Install dependencies:

   npm install

3. Configure Environment Variables: Create a .env file in the project root and add your Facebook App credentials:

   FACEBOOK_APP_ID=YOUR_APP_ID
   FACEBOOK_APP_SECRET=YOUR_APP_SECRET
   FACEBOOK_ACCESS_TOKEN=YOUR_ACCESS_TOKEN 
   FACEBOOK_ACCOUNT_ID=act_YOUR_ACCOUNT_ID 

   Replace placeholders with your actual values. Ensure the Access Token has the ads_management permission.

1. Build the server:

   npm run build

   This compiles the TypeScript code to JavaScript in the dist folder.

2. Run the server:

   npm start

   The server will start and listen for MCP connections via stdio.

3. Connect with an MCP Client (e.g., Claude Desktop): Follow the instructions in CLAUDE_DESKTOP_GUIDE.md to configure your MCP client to connect to this server using the npm start command or by directly running node dist/index.js.

• create_campaign: Creates a new ad campaign.
• get_campaigns: Lists existing campaigns.
• get_campaign_details: Gets details for a specific campaign.
• update_campaign: Updates an existing campaign.
• delete_campaign: Deletes a campaign.
• create_custom_audience: Creates a custom, website, or engagement audience.
• get_audiences: Lists available custom audiences.
• create_lookalike_audience: Creates a lookalike audience.
• create_ad_set: Creates a new ad set.
• get_campaign_insights: Retrieves performance insights for a campaign.
• generate_campaign_prompt: Generates a prompt for campaign creation using a template.

Refer to the server's tool descriptions in your MCP client for detailed parameter information.

Contributions are welcome! Please feel free to submit pull requests or open issues.

This project is licensed under the MIT License.