daylens-mcp
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Alternatives to daylens-mcp
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Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to semantically search your entire local conversation history from Claude Desktop, ChatGPT and Claude Code, and to retrieve, browse, ingest and report on those conversations. All embeddings run locally, so no cloud, API keys, or data leave your machine.MIT
- AlicenseAqualityCmaintenanceGives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.12MIT
- AlicenseNot gradedqualityAmaintenanceGives AI coding assistants persistent project memory and semantic code search, running fully locally with no API keys required.MIT
- AlicenseNot gradedqualityBmaintenanceProvides a local long-term memory layer for AI coding tools like Cursor and Claude Code, enabling cross-session, cross-tool sharing of project facts, user preferences, decisions, and workflows.18 npm2MIT
- AlicenseAqualityAmaintenanceLocal-first dev memory: indexes Git commits, PRs, Jira/Linear tickets, Confluence docs, Slack threads, and Calendar events into a local SQLite/FTS5/ONNX index, and exposes them as MCP tools so Claude Code, Cursor, and Codex can search and cite your past work.174MIT
- AlicenseNot gradedqualityAmaintenanceLien connects AI coding assistants like Cursor and Claude Code to your codebase through the Model Context Protocol (MCP). Ask questions in natural language, get precise answers from semantic search—all running locally on your machine.2AGPL 3.0
TDQS
Scored across 5 tools
Each tool has a distinct purpose: timeline for daily blocks, focus stats for metrics, app usage for breakdown, search for querying history, and recent activity for up-to-the-minute info. No two tools clearly overlap.
Four tools consistently use the get_ prefix (get_timeline, get_focus_stats, get_app_usage, get_recent_activity), but search_work breaks the pattern. While still readable, the inconsistency is mildly noticeable.
Five tools is well-scoped for a personal analytics server, covering the main ways to access Daylens data without being bloated or sparse.
The set covers all the typical read-only needs for a work-tracking service: daily overview, metrics, detailed usage, search, and real-time activity. No obvious gaps for this domain.