QodFlow launches MCP-native kanban board for human-AI team collaboration with audit trails

QodFlow released a kanban board designed for AI agents to execute work via the Model Context Protocol, with functions for claiming jobs, reporting progress, attaching evidence, and requesting human decisions. The platform integrates with Claude, Cursor, and other MCP clients, maintaining unified audit trails showing who (human or agent) performed each action with revocable tokens. Users can respond to agent requests either in Claude or on the board, with all decisions timestamped and scoped to the same card timeline.