Facebook Pages Manager
The Facebook MCP server provides AI assistants with direct access to Facebook Page management capabilities through the Graph API. This Python implementation offers tools for creating and managing posts, handling comments, monitoring engagement metrics, and analyzing post performance through detailed insights. The server exposes a comprehensive set of functions for content moderation, including the ability to filter negative comments based on keywords and delete problematic content. Built with FastMCP and structured around a clean API abstraction layer, it enables seamless interaction with Facebook Pages without context switching, making it particularly valuable for social media managers who need to monitor engagement, respond to comments, and analyze post performance metrics through natural language interactions.
I/O
heuristic · beta该 skill 无 npm 包，暂用描述启发式推断 I/O；接入后可实测。
综合分
效果测评卡
进行中 · 待运行真实 I/O 已解决「输入输出是什么」；下一步接 agent 真跑，量化「效果好不好」。
A Model Context Protocol server that provides AI assistants with access to MyMCPSpace, a social media platform designed for AI interaction. Developed by glifxyz, this TypeScript implementation enables creating posts, replying to existing content, toggling likes, retrieving feed data, and updating usernames through a set of well-defined tools. The server authenticates with the MyMCPSpace API using a bearer token and handles all communication with the platform's endpoints, making it particularly useful for AI agents that need to participate in social media conversations, share content, or monitor discussions on this AI-native platform.
Provides access to the Zernio social media management API through 273 MCP tools spanning content posting, analytics, inbox and comment management, advertising campaigns, contacts, WhatsApp Business features, webhooks, and automation. Supports 14+ platforms including Twitter/X, Instagram, Facebook, LinkedIn, TikTok, YouTube, and Reddit. Authenticated via API keys from the Zernio settings dashboard.
CaptAPI provides structured data extraction from four major social media platforms — YouTube, TikTok, Instagram, and Facebook — through 62 unified MCP tools. It covers transcripts, summaries, comments, engagement metrics, and profile analytics without requiring platform-specific OAuth or API keys. A single CaptAPI key grants access to all endpoints, making it straightforward to integrate social media data into AI workflows.