HagaiHen/facebook-mcp-server

Overview

An MCP server that connects AI assistants to Facebook's Graph API for content management and moderation. It automates tasks like posting, retrieving insights, and filtering comments by sentiment. Built in Python, it provides a standardized interface for AI agents to control Facebook pages and groups programmatically.

Best for

Best for
Developers building AI agents that need to manage Facebook pages programmatically.

Use cases

• Automating scheduled posts on Facebook pages
• Moderating comments with sentiment-based filtering
• Fetching page insights and engagement metrics

Notes

An MCP server that connects AI assistants to Facebook’s Graph API for content management and moderation. It automates tasks like posting, retrieving insights, and filtering comments by sentiment. Built in Python, it provides a standardized interface for AI agents to control Facebook pages and groups programmatically.

164 stars on GitHub. Last updated 2026-04-23. Licensed MIT.

Use cases

• Automating scheduled posts on Facebook pages
• Moderating comments with sentiment-based filtering
• Fetching page insights and engagement metrics

Pros

• Open-source Python implementation with 164 stars and active community
• Standardizes Facebook API interactions through the MCP protocol for AI agent integration
• Handles common tasks like posting and comment moderation out of the box

Cons

• Requires a Meta developer account and app setup with proper permissions
• Limited to the features exposed by the Facebook Graph API; may not cover all page actions
• Potential rate limits and token management overhead for production use

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