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Alternatives to kanboard-mcp

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Related Servers

  • A
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    Self-hosted kanban board that dispatches AI agent fleets against tickets. The embedded Streamable HTTP /mcp endpoint exposes 7 tools to list projects, read boards and tickets, and create, move and comment tickets from any MCP client.
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    Provides MCP tools to manage a local-first Kanban board, including projects, issues, dependencies, and labels. Enables AI clients to interact with the board via a stdio MCP server connected to a NestJS API.
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    Enables 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.
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  • A
    license
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    Enables AI agents to manage Kanban tasks, boards, teams, and checklists via natural language, with full CRUD operations and live updates.
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    Enables users to manage Kanban-style tasks with priorities, tags, and statuses (todo, in progress, done) through natural language. Provides task analytics including lead time, cycle time, and status distribution with MongoDB storage.
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TDQS

A4.2/5.0

Scored across 39 tools

Disambiguation5/5

Each tool has a clearly distinct purpose, with descriptions explicitly differentiating similar operations (e.g., close_task vs delete_task, create_task vs create_tasks_batch). Overlapping tools are well distinguished by documentation.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using lowercase snake_case (e.g., create_project, list_tasks, update_column). The naming is predictable and uniform across all entities.

Tool Count3/5

With 39 tools, the server covers a comprehensive Kanboard domain but feels heavy. While each tool is justified for full lifecycle management, the count exceeds typical MCP server scope (3-15 tools), making it borderline overwhelming.

Completeness4/5

The tool surface is very comprehensive, covering CRUD for projects, tasks, subtasks, comments, columns, swimlanes, users, and files, plus batch and movement operations. Minor gaps exist, such as missing list_comments or get_subtask by id, but the core workflows are well supported.

Maintenance

ActivityInactive
ResponsivenessNo issues