Docket
Related Servers
Alternatives to Docket
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Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI tools and agents to share a persistent memory space, so a decision, task, or encrypted secret saved in one client can be searched, recalled, and handed off from another. It also tracks goals day by day, moves unfinished work between sessions, and keeps exports, trash recovery, and per-account isolation under the user's control.-
- AlicenseNot gradedqualityBmaintenanceEnables coding-agent sessions on the same machine to collaborate locally and durably by exchanging requests, replies, and task results through an authenticated loopback server with SQLite-backed storage, joined via CLI or an MCP stdio bridge. It also handles message delivery by priority and wait time, deduplicates idempotent sends, enforces task versioning, and preserves artifacts by content hash.282 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceA persistent todo list server that enables AI assistants to manage tasks across different platforms using the Model Context Protocol. It provides tools for creating, listing, updating, and deleting todos with support for priorities, tags, and due dates.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to access a shared, authenticated memory and project management system with durable storage, task tracking, roadmaps, and semantic search, deployed on Cloudflare.MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to manage SQLite-backed TODOs and schedule durable coding-agent jobs over stdio, with persistent job memory, run history, and a read-only dashboard.MIT
- FlicenseNot gradedqualityCmaintenanceEnables multiple AI coding agents to coordinate on a shared software project by registering, claiming tasks, declaring file intents, publishing structured change reports, and handing off context, with a local dashboard showing state in near real time.-
TDQS
Scored across 9 tools
Each tool maps to a distinct action in the todo lifecycle: add, list, edit, claim, release, complete, delete, history, and version. Even close concepts like release and complete are clearly differentiated in their descriptions, so there is little risk of an agent selecting the wrong tool.
All tools share the consistent todo_ prefix and use snake_case with single-word command names. Most are verb-based (add, edit, claim, release, complete, list, delete), but history and version are noun-based, which is a minor deviation from the otherwise predictable pattern.
Nine tools is well within the ideal range for this domain and each tool serves a clear, non-redundant purpose. The count feels neither too thin nor bloated for a shared todo-list server.
The tool set provides full CRUD coverage (add/list/edit/delete) plus lifecycle actions for claiming, releasing, and completing items. The history and version tools add useful diagnostics, and there are no obvious missing operations that would block an agent from managing todos end-to-end.