AI Agent Kanban Board (QodFlow)

A kanban board specifically designed for AI agents to interact with via MCP protocol, allowing agents to claim jobs, report progress, request human decisions, and maintain audit trails. Bridges the gap between autonomous agents and human oversight with a shared, transparent timeline.

The MCP (Model Context Protocol) ecosystem is exploding right now as Anthropic's spec gains adoption and developers scramble to build orchestration infrastructure around multi-agent workflows — demand for structured coordination primitives is real and immediate. No clear incumbent exists specifically in the MCP-native task management space, though Linear and GitHub Projects get pressed into service awkwardly as workarounds. The $2k–10k/mo band makes sense for a devtools product with a narrow ICP (teams running production AI agents), but it implies staying a focused utility rather than a platform, which limits upside. The biggest risk is timing fragility: MCP could lose to a competing orchestration standard, or the major agent frameworks (LangGraph, CrewAI) could ship native queue and handoff primitives that make a standalone board redundant before you reach meaningful ARR.