An AI-native kanban board MCP server where agents pull tasks via the Model Context Protocol. It provides tools for task discovery, claiming, progress updates, and review workflows.
A kanban board MCP server that enables AI agents to read and write project boards through session loops, with built-in cost tracking and local-first storage.
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.
An MCP server that provides a database-backed kanban board with 40+ tools for AI agents to track issues, features, todos, epics, and diary entries across projects, including status workflows, relationships, and semantic search.
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.