Twikit
This MCP server, developed by adhikasp, integrates with Twitter's API to enable AI assistants to interact with the social media platform. It provides tools for searching tweets, retrieving timelines, and analyzing sentiment across multiple accounts. The server stands out by offering a simplified interface for complex Twitter operations, making it easier for AI systems to process and respond to social media data. By connecting AI capabilities with Twitter's vast user-generated content, this implementation empowers AI assistants to handle tasks like social media monitoring, trend analysis, and customer sentiment tracking. It is particularly useful for applications in brand management, market research, or any scenario where an AI system needs to work with real-time social media data.
I/O
heuristic · beta尚未实测该 server 的真实 I/O（探测队列中）。上表为基于描述的启发式推断。
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.