Social Media MCP Server
Related Servers
Alternatives to Social Media MCP Server
No user-submitted related servers found.
Related Servers
AlicenseAqualityBmaintenanceEnables AI assistants to manage social media publishing across platforms like LinkedIn, Twitter, Facebook, Instagram, Threads, and Bluesky.759 npmMIT- AlicenseAqualityBmaintenanceEnables AI assistants to schedule and publish social media posts to platforms like Instagram, TikTok, YouTube, LinkedIn, Facebook, X, Threads, and Pinterest using natural language.3399 npm3MIT
- AlicenseAqualityBmaintenanceLets any AI agent post to TikTok, Instagram, YouTube, X, LinkedIn, Bluesky, Telegram, Mastodon and Discord through a single post_to_social tool. Connect an account once, then publish everywhere.2127 npmMIT

AdaptlyPostofficial
AlicenseAqualityAmaintenanceGives AI agents the ability to schedule and publish social media posts to Instagram, TikTok, YouTube, X, LinkedIn, Facebook, Pinterest, Threads, and Bluesky. Create, schedule, and bulk-plan posts with per-platform captions, then check per-platform results and retry failures.12MIT- AlicenseNot gradedqualityBmaintenanceEnables AI agents to post, schedule, thread, delete, and analyze social media posts across platforms like X, Bluesky, LinkedIn, and Instagram through a single MCP interface.3,268 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables posting to multiple social media platforms (X, LinkedIn, Facebook, Instagram, etc.) via a unified API, handling OAuth, media, and scheduling for each network.AGPL 3.0
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: create_post handles content creation, get_trending_topics retrieves trending information, and research_topic performs topic research using external search tools. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern (create_post, get_trending_topics, research_topic), using snake_case throughout. This predictability enhances readability and usability for agents.
With only 3 tools, the server feels under-scoped for a social media domain. Key operations like reading posts, updating/deleting content, or interacting with comments are missing, limiting the server's utility for comprehensive social media tasks.
The toolset is severely incomplete for social media operations. It lacks basic CRUD functionality (e.g., no read, update, or delete for posts), interaction tools (e.g., like, comment, share), and platform-specific features, leaving significant gaps that will hinder agent workflows.