MCP For Claude Marketplace
CrewAI Task Dependency Graph Validator

CrewAI Task Dependency Graph Validator MCP Connector for Claude

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Ensures multi-agent task sequences are free of circular logic and properly ordered.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The CrewAI Task Dependency Graph Validator is a specialized engine designed to ensure that complex, multi-agent workflows in CrewAI are executed in the correct order. By modeling tasks as nodes in a Directed Acyclic Graph (DAG), it uses Kahn's algorithm to detect circular dependencies and determine the optimal execution sequence. Use validate_task_graph to check for loops, audit_context_integrity to find broken task links, and calculate_task_complexity to measure the downstream impact of specific tasks.

crewaidagtask-dependencykahn-algorithmautomationmulti-agent

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

audit_context_integrity

Audits the integrity of task context references

calculate_task_complexity

Calculates the complexity of a task within a graph

validate_task_graph

Validates a task graph for circular dependencies

See how to talk to your AI agent using CrewAI Task Dependency Graph Validator.

Check if this task list has any circular dependencies: [{'id': 'task1', 'dependencies': ['task2']}, {'id': 'task2', 'dependencies': ['task1']}]

The task graph is invalid. The following cyclic dependencies were detected: ['task1', 'task2'].

What is the impact of failing 'research_task' in my workflow?

Failing 'research_task' will have a downstream impact count of 3, affecting all tasks that depend on its output.

Verify if all context references in my task list are correct.

The integrity check passed. All tasks listed in `contextFrom` fields exist within the provided registry.

It validates that your CrewAI task sequences do not contain circular dependencies and are properly ordered for execution.

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