Personal DB MCP Server
Related Servers
Alternatives to Personal DB MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseDqualityDmaintenanceEnables AI assistants to access and update personalized context data, creating persistent memory between sessions.14MIT
- FlicenseBqualityNot gradedmaintenanceProvides persistent personal and organizational knowledge storage that any LLM can connect to for instant context about who you are, what you do, and your preferences. Enables AI agents to maintain long-term memory across sessions through structured data categories, semantic search, and export/import capabilities.27-
- AlicenseAqualityFmaintenanceProvides persistent personal context (identity, projects, decisions, knowledge) to MCP-compatible AI tools, eliminating the need to re-explain yourself across sessions.251 npm1MIT
- FlicenseAqualityDmaintenanceProvides persistent personal context storage across AI conversations, allowing AI assistants to remember user preferences, project conventions, and other personal information between sessions.8-
- AlicenseNot gradedqualityCmaintenanceAggregates your digital footprint (GitHub, blogs, resume) into a single AI-readable profile and exposes it via MCP tools so AI agents can query your context live.1MIT
- AlicenseNot gradedqualityBmaintenanceThe personal context layer for AI - one user owned profile plus files, read by any MCP client so you never re-introduce yourself.1MIT
TDQS
Scored across 101 tools
Most tools follow a clear resource+action pattern (create/get/list/update/delete for each entity type like profile, skill, project), so they are largely distinguishable. However, a few tools overlap conceptually: 'search' (full-text search across all tables) and 'get_stats'/'get_context' have some ambiguity in purpose, and 'persona' vs 'profile' represent potentially overlapping concepts. Overall the resource-based naming keeps boundaries mostly clear.
The vast majority of tools follow a consistent verb_noun pattern (create_X, get_X, list_X, update_X, delete_X) in snake_case, which is excellent. Minor deviations exist: 'search', 'tag_entry', 'untag_entry' reverse the order to noun_verb, and a few like 'generate_nft_snapshot' and 'preview_nft_data' use different verb forms. Also 'get_stats', 'get_context', 'debug_auth', and 'analyze_profile' don't match the CRUD pattern. Still, the deviation is small relative to the ~90 tools that do follow the pattern.
101 tools is extremely high, far exceeding reasonable scoping for any server. While a personal database could legitimately manage many entity types, having 101 distinct tools creates massive cognitive overhead. Each entity type generates 5 CRUD tools plus auxiliary tools, resulting in a sprawling surface. This is a textbook example of tool-count bloat that will overwhelm agents.
CRUD coverage is quite thorough for most entity types (profile, skill, project, achievement, episode, education, hobby, values, health, life events, relationships, goals, custom categories/entries, personas, careers). However, there are gaps: delete_relationship, update_relationship, get_relationship, list_relationships exist but no... actually most are present. Missing delete for relationship and goal's get/delete gaps — delete_goal exists but check list. Some entities like NFT and tags have partial coverage (no create/update NFT, no delete tag). Overall coverage is good but not complete across all entity types.