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  1. MCP
  2. /
  3. Task Graph Mcp

Task Graph Mcp

Editor's Note

If you're running multiple AI agents on complex work and tired of them stepping on each other or losing track of what they're doing, this gives you structured workflows through MCP tools. You get task hierarchies with phases (explore, implement, review), transition prompts that auto-guide agents between states, quality gates that enforce requirements before moving forward, and coordination primitives like atomic task claiming and advisory file locks. It's built on SQLite with pre-configured topologies for solo work, parallel swarms, specialist relays, or hierarchical delegation. Token tracking and cost accounting are built in. Useful when you need agents to follow a process instead of wandering off or duplicating work.

GitHub Stars1
Registryactive
Packagehttps://github.com/Oortonaut/task-graph-mcp/releases/download/v0.3.0/task-graph-mcp-x86_64-unknown-linux-gnu.mcpb
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