MCP For Claude Marketplace
Task DAG Dependency Resolver

Task DAG Dependency Resolver MCP Connector for Claude

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Resolves task execution order and parallel groups from DAG dependencies.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides advanced graph mathematics for agentic orchestration. It uses Kahn's algorithm to calculate valid execution sequences and identify tasks that can run in parallel. Use resolve_execution_order to get a full execution plan, detect_cycles to find deadlocks in your pipeline, or find_isolated_tasks to identify disconnected nodes. It is designed for managing complex task dependencies in frameworks like CrewAI or LangGraph.

dagtopological-sortdependency-resolveragent-orchestrationgraph-math

3 tools expose this connector's capabilities to your AI agent.

find_isolated_tasks

Identifies tasks that are completely disconnected from the rest of the execution graph

resolve_execution_order

Calculates the valid execution sequence and parallel execution groups for a set of tasks

detect_cycles

Specifically focuses on finding and describing the exact loop causing a deadlock in the pipeline

See how to talk to your AI agent using Task DAG Dependency Resolver.

Calculate the execution order for these tasks: TaskA depends on TaskB, TaskB depends on TaskC.

The valid execution order is TaskC, then TaskB, then TaskA.

Check if there is a cycle in this task list: A depends on B, B depends on A.

Yes, a circular dependency was detected: ["A", "B", "A"].

Find all isolated tasks in a graph where TaskA and TaskB are connected, but TaskC has no dependencies.

The isolated task is TaskC.

You can use the `resolve_execution_order` tool, which returns `parallelGroups` containing sets of task IDs that share the same depth level in the dependency graph.

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