Github Oortonaut Task Graph Mcp
MCP server for agent task workflows with phases, prompts, gates, and multi-agent coordination
About This MCP Server
When you have AI agents working on complex tasks, things go wrong fast. Agents lose context, skip steps, forget to coordinate. Task Graph solves this with structured workflows: phases to guide work, prompts for automatic guidance, gates to enforce quality, and coordination primitives for multi-agent scenarios—all through the Model Context Protocol.
Tools & Endpoints
Example Workflow
connect(workflow="swarm", tags=["code"]) → "bright-lunar-swift-fox" list_tasks(ready=true, agent="bright-lunar-swift-fox") → claimable work claim(worker_id="bright-lunar-swift-fox", task="add-auth") → you own it update(..., phase="implement") → enter implementation phase thinking(agent="bright-lunar-swift-fox", thought="Adding JWT...") → visible to others update(worker_id="bright-lunar-swift-fox", task="add-auth", attachments=[{type:"commit", content:"abc123"}]) → done
Specifications
Requirements
- Dependency types define how tasks relate to each other. Default types: blocks
- follows
- contains
- duplicate
- see-also
- relates-to.
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
Install
cargo install task-graph-mcpPerformance
Usage
Quick Reference
- Name
- Github Oortonaut Task Graph Mcp
- Function
- MCP server for agent task workflows with phases, prompts, gates, and multi-agent coordination
- Transport
- Package
- Language
- mcpb
- Install
- cargo install task-graph-mcp
- Source
- External (Registry)
- License
- Open Source
Ready to integrate this MCP server?
Book a demo to see how this server fits your workflow, or explore the full catalog.