social-mcp
Related Servers
Alternatives to social-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to retrieve YouTube channel overviews, Studio analytics, video performance, traffic source breakdowns, and comments for sentiment analysis using natural language prompts.81MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to access YouTube organic analytics, including channel stats, video performance, watch time, and audience engagement, via the YouTube Data API v3 and Analytics API v2.629 npmMIT
- FlicenseAqualityDmaintenanceEnables AI assistants to analyze YouTube channels, videos, transcripts, and content strategy through structured tool calls.1720 npm-
- AlicenseAqualityBmaintenanceEnables AI agents to read transcripts of any public video, research channels, analyze performance, read comments, and manage multiple owned channels.1617 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, retrieve transcripts and metadata, analyze channels, and access trending and engagement analytics for YouTube content.20 npm-
- AlicenseNot gradedqualityBmaintenanceBrings social media analytics and content intelligence into any MCP-compatible AI agent, enabling analysis of your own videos, competitor research, and creator discovery via a hosted OAuth-authenticated server.10MIT
TDQS
Scored across 8 tools
Each tool targets a clearly distinct platform and resource/action: channel overview vs. recent uploads vs. search vs. video details vs. comments for YouTube, and account overview vs. recent media vs. hashtag media for Instagram. The descriptions further clarify boundaries (e.g., search for arbitrary queries, video details for specific IDs). No two tools appear to do the same thing.
All tools follow a consistent platform_<object>_<descriptor> snake_case pattern: youtube_channel_overview, youtube_recent_uploads, instagram_account_overview, etc. The convention is predictable and readable throughout.
With 8 tools covering two platforms, the set is well-scoped and each tool earns its place. It provides a focused analytics surface without unnecessary bulk or thinness.
Core analytical workflows are covered for both platforms: overview, recent content, search/details, and comments for YouTube; overview, recent media, and hashtag media for Instagram. Minor gaps exist, such as Instagram post comments or individual media details, but agents can work around them for most common tasks.