Use Task DAG Dependency Resolver with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Resolves task execution order and parallel groups from DAG dependencies.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Task DAG Dependency Resolver capability set.
These are the exact actions your AI can choose when you ask it to work with Task DAG Dependency Resolver.
01-03
3 capabilities in this set.
Part of 3 available through Task DAG Dependency Resolver.
- 01
Find isolated tasks
Identifies tasks that are completely disconnected from the rest of the execution graph
- 02
Resolve execution order
Calculates the valid execution sequence and parallel execution groups for a set of tasks
- 03
Detect cycles
Specifically focuses on finding and describing the exact loop causing a deadlock in the pipeline
Observed, not estimated
790ms average. Fast in production.
Task DAG Dependency Resolver is checked daily against the live service.
- Fastest day
- 658ms
- Slowest day
- 927ms
- 14-day trend
- Improving-15%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Task DAG Dependency Resolver, so you can see the experience inside your AI.
It does not authenticate your account with Task DAG Dependency Resolver. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Task DAG Dependency Resolver Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_PG7vL55vQOWAb30PXDjIN58o0NkWX6bQwzxPi4mp/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Task DAG Dependency Resolver capabilities are ready to use.
{
"mcpServers": {
"task-dag-dependency-resolver-mcp": {
"url": "https://edge.vinkius.com/vk_preview_PG7vL55vQOWAb30PXDjIN58o0NkWX6bQwzxPi4mp/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Task DAG Dependency Resolver owners ask.
- 01
How do I find tasks that can run at the same time?
You can use the resolve_execution_order capability, which returns parallelGroups containing sets of task IDs that share the same depth level in the dependency graph.
- 02
What happens if my task list has a circular dependency?
If a cycle is detected, you can use detect_cycles to retrieve the exact cyclePath that forms the loop, allowing you to fix the deadlock.
- 03
Can I use this for LangGraph or CrewAI workflows?
Yes, this server is specifically built to resolve execution orders for agentic pipelines like those used in LangGraph and CrewAI.
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