boardagent-mcp
Related Servers
Alternatives to boardagent-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server for task management that enables AI agents to read, create, update tasks, and track work sessions, allowing agents and humans to collaborate on the same task board.5 npm9MIT
- FlicenseNot gradedqualityCmaintenanceExposes task management (add, list, complete tasks) and document search (RAG) as MCP tools for AI agents.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to manage task state through MCP, including creating, updating, and tracking tasks, with support for client-side encryption and secure local credential storage.10 npmMIT
- AlicenseNot gradedqualityDmaintenanceMCP server for the Google Tasks API that enables AI agents to read, create, update, delete, and manage Google Tasks.62 npmMIT
- AlicenseAqualityCmaintenanceEnables MCP clients to read, create, close, and comment on Vikunja tasks, allowing agents to manage a project board autonomously.7MIT
- AlicenseNot gradedqualityAmaintenanceLocal-first task governance board for AI agents, enabling session registration, task creation, progress updates, and evidence reporting via MCP, with separation of agent claims and human acceptance.Apache 2.0
TDQS
Scored across 7 tools
Each tool maps to a distinct action: CRUD (create/list/get/update/delete) plus two clearly-scoped lifecycle operations (claim for locking, complete for finishing). Claim vs update are well separated by their descriptions (lock vs metadata merge), so misselection is unlikely.
All seven tools share the boardagent_ prefix and follow a strict verb_noun pattern (create_task, list_tasks, get_task, delete_task, update_task, claim_task, complete_task). No mixed conventions or vague verbs.
Seven tools is a well-scoped set for a task board, covering the essential operations without bloat. Every tool earns its place.
Full CRUD plus claim/complete lifecycle is strong, but a few natural operations are absent: releasing/unclaiming a task, reopening a completed task, and explicit assignment. These are minor gaps an agent can largely work around.