Agentic Backlog MCP Server
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- AlicenseAqualityAmaintenanceEnables AI agents to manage tasks on a local-first board via MCP, exposing task creation, updates, and queries through a thin adapter over the REST service.7MIT
- FlicenseNot gradedqualityBmaintenanceEnables managing projects, features, tasks, dependencies, executions, and human review through a Streamable HTTP endpoint, along with persistent inter-agent cooperation via task messaging and event subscriptions. It also supports administrative actions such as approvals, cancellations, unblocking, and member management.-
- AlicenseNot gradedqualityCmaintenanceA self-hosted backlog tracker with priority scoring and an MCP server, enabling AI agents to autonomously pull, work on, and update tasks via JSON-RPC tools.MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to manage a local-first Kanban board with Azure DevOps-style workflow rules, including task creation, status updates, subtask breakdown, full-text search, daily summaries, and next-task suggestions.-
- AlicenseAqualityDmaintenanceA local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.123 npm25GPL 3.0
- AlicenseBqualityCmaintenanceEnables AI clients to create and manage tasks via a local REST API by converting natural language into HTTP requests through the Model Context Protocol.1MIT
TDQS
Scored across 22 tools
Many tools are distinct, but there are several overlapping boundaries: get_board and get_console_table both return board snapshots, update_task/update_task_by_title/update_task_status all mutate tasks, and get_focus/list_tasks overlap as list-like views. Descriptions help, but an agent could easily pick the wrong one for state changes or snapshot retrieval.
Names consistently use the backlog. prefix with snake_case verb_noun construction (list_tasks, create_task, update_task). Minor deviations are bare nouns health and version and the looser get_/list_ distinction, but the overall pattern is predictable and readable.
22 tools is on the heavy side and sits in the 16-25 borderline range. Many could be consolidated (board formats, update variants, health/version), though the broad project/task/planning/claim domain explains some of the volume.
The surface covers task CRUD well, including restore, status transitions, notes, claims, board snapshots, focus, and planning. Minor gaps exist such as no project update/delete and limited search beyond title keywords, but core agent workflows do not hit dead ends.