Social Media API for AI Agents & Developers | SocialAPI.ai

# SocialAPI.ai > One API to read, manage, and respond to social media interactions - comments, > DMs, reviews, and mentions - across Instagram, Facebook, Google Reviews, > TikTok, YouTube, X/Twitter, LinkedIn, and more. MCP-native for AI > agents and developers. SocialAPI.ai is a unified REST API for reading and responding to social media comments, DMs, reviews, and mentions. It is MCP-native, designed for use with AI agents and developer automation workflows. ## What it does SocialAPI.ai replaces per-platform social media API integrations with a single authenticated REST API. Developers connect social accounts via OAuth, then use one set of endpoints to: - Read comments, reviews, DMs, and mentions across all connected platforms - Reply to comments and reviews - Send direct messages - Moderate comments (hide, delete) - Receive real-time webhook events for new interactions - Use the API as an MCP tool inside any Model Context Protocol AI agent Instead of building and maintaining OAuth flows, webhook handlers, and rate-limit logic for each platform separately, developers integrate once and get access to all supported platforms. ## Supported platforms - Instagram (comments, DMs, mentions) - Facebook (comments, DMs, mentions) - Google Reviews (reviews, replies) - TikTok (comments) - YouTube (comments) - X / Twitter (mentions, DMs) - Review platforms (reviews, replies) - LinkedIn (comments, mentions) ## MCP support SocialAPI.ai is MCP-native. It exposes a Model Context Protocol server that AI agents can use as a tool to read and respond to social interactions without writing custom API code. Compatible with any MCP-capable framework including Claude, GPT-4, and open-source agent runtimes. ## Key pages - https://social-api.ai/ - Product overview, features, and getting started - https://social-api.ai/about - About SocialAPI.ai, mission, and technical philosophy - https://social-api.ai/pricing - Plan comparison and pricing details - https://social-api.ai/contact