PersonalizationMCP
Related Servers
Alternatives to PersonalizationMCP
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and search local browser history, bookmarks, open tabs, and downloads for personalized context.MIT- FlicenseNot gradedqualityCmaintenanceEnables personal data analysis and insights using AI agents across Spotify, GitHub, finances, fitness, and journal entries.-
- AlicenseDqualityDmaintenanceEnables AI assistants to access and update personalized context data, creating persistent memory between sessions.14MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read chats, Saved Messages, files and media, search history, and send messages through your personal Telegram account.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI models and products to access Telegram and YouTube conversations, messages, searches, and transcripts through MCP and REST APIs, governed by per-product scopes, usage accounting, and response budgets.705 npmMIT
- FlicenseCqualityDmaintenanceProvides structured personal data (skills, experiences, values) as context to AI services, enabling personalized outputs across different AI applications.100-
TDQS
Scored across 88 tools
Most tools are clearly distinct due to platform prefixes (e.g., get_steam_library vs get_spotify_user_saved_tracks), but there are minor confusions between test_*_credentials, get_*_config, and generic status tools like test_connection and get_personalization_status. The unrelated 'add' tool also creates ambiguity.
The majority follow a get_verb_noun pattern, but there are deviations like 'add', 'test_connection', and 'my_steam_recent_activity' (instead of get_my_...). The inconsistent use of 'my_' vs 'get_my_' and a few long auto-refresh names slightly reduce predictability.
With 88 tools, this is an extreme mismatch even for a multi-platform personalization server. The calibration indicates 50+ tools as extreme, and this server has nearly double that, making it overwhelming for agents to navigate.
Each platform has a broad set of read operations and some actions (follow/unfollow, OAuth setup). Missing write operations like posting or creating playlists are notable, but for a personalization-focused server the coverage is substantial, with only minor gaps in content creation.