Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
A campaign and task management MCP server for AI coding assistants, enabling dependency tracking, acceptance criteria, testing strategies, and progress monitoring for projects.
MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
Harness-agnostic MCP server for orchestrating deterministic, resumable multi-agent workflows. It lets you start, watch, resume, and cancel agent runs from any MCP client, using agents from Codex, Claude, Cursor, or Kimi.
