Skip to main content
Glama
facebook-mcp-server

facebook-mcp-server

facebook-mcp-server — Facebook Page management via MCP + Graph API

An MCP server that exposes Facebook Page tools to any AI agent — create posts, moderate comments, fetch insights, and filter negative feedback through the Graph API.

OpenClaw Skill

Overview

facebook-mcp-server is a Model Context Protocol server that wraps Facebook Graph API operations for Page management. It exposes structured tools that agents can call to create posts, moderate comments, fetch page and post insights, and filter out negative feedback. Requires a Facebook Graph API token with appropriate Page permissions and Python 3.x.

Related MCP server: Facebook MCP Server

Features

  • Create posts — publish content to managed Pages

  • Moderate comments — list, hide, and manage comments

  • Fetch insights — page and post performance metrics

  • Filter negative feedback — identify and handle unwanted content

  • MCP protocol — works with any MCP-compatible AI agent

Usage / Quick Start

# Set your Graph API token
export FACEBOOK_PAGE_TOKEN="your-token-here"

# Run the MCP server
python3 server.py

Requires: Facebook Graph API token with Page permissions.

Trigger Keywords (OpenClaw)

Facebook page MCP, manage Facebook page programmatically, Facebook Graph API, post to Facebook page, moderate comments


Part of the NachaFromMars OpenClaw skill ecosystem.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to manage a Facebook Fanpage via the official Graph API, supporting posting, scheduling, comment moderation, and analytics, without scraping or accessing private messages.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables automating and managing Facebook Page interactions through the Graph API, including posting, comment moderation, engagement analytics, scheduling, and direct messaging from natural language.
      MIT