Stop Clicking Through Facebook's Interface — Automate Your Page Management with Natural Language

Social media managers spend hours clicking through Facebook's interface, manually moderating comments, checking analytics, and scheduling posts. This MCP server turns your Facebook page into a natural language API that works directly with Claude Desktop.

The Problem: Facebook Management is a Time Sink

You're probably familiar with this workflow: log into Facebook, navigate to your page, check comments for moderation, reply to the good ones, delete the spam, check post performance, schedule new content, then repeat tomorrow. It's manual, repetitive, and eats into time you could spend on strategy.

24 Tools, One Natural Language Interface

This MCP server exposes every essential Facebook page operation as AI-callable functions. Instead of clicking through Facebook's interface, you ask Claude to handle it:

• Content Management: Post text and images, schedule content, update existing posts
• Comment Moderation: Filter negative sentiment, delete spam, reply to engagement
• Analytics: Track impressions (organic/paid), engagement metrics, fan counts, top commenters
• Direct Communication: Send DMs, reply to specific comments

Real-World Use Cases

Morning Moderation Workflow: "Check yesterday's posts for new comments, delete any with negative sentiment, and reply professionally to legitimate complaints."

Performance Analysis: "Show me which posts from last week had the highest engagement rates and what topics performed best."

Bulk Content Scheduling: "Schedule these 5 product announcements for next week, spacing them 2 days apart during peak engagement hours."

Crisis Management: "Find all comments mentioning [issue] across recent posts and prepare professional responses for the legitimate concerns."

Integration That Actually Works

The setup is straightforward — grab your Facebook Page access token, drop it in a .env file, and add the server to your Claude Desktop config. No complex OAuth flows or webhook setup required for basic functionality.

# .env
FACEBOOK_ACCESS_TOKEN=your_facebook_page_access_token
FACEBOOK_PAGE_ID=your_page_id

The server handles Facebook's Graph API complexity behind the scenes, including rate limiting and error handling. You get clean, reliable operations through natural language.

Beyond Basic Posting

While most social media tools focus on publishing content, this server shines in areas that typically require manual work:

• Sentiment-based filtering automatically surfaces comments that need attention
• Engagement analytics help you understand what content resonates without diving into Facebook's analytics dashboard
• Automated moderation handles common spam patterns while escalating nuanced issues
• Cross-post analysis shows you which content performs across different post types

Why This Matters

Facebook's native interface is built for casual users, not for managing business pages at scale. This MCP server gives you programmatic access to everything you need, wrapped in a conversational interface that's faster than clicking through menus.

If you're managing Facebook pages professionally, the time savings add up quickly. Instead of context-switching between strategy work and manual platform management, you can handle routine operations through natural language while staying focused on higher-level decisions.

The server is MIT licensed and actively maintained, with a clean Python codebase that's easy to extend if you need custom functionality for your specific use case.