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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use DAG Topological Scheduler with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic task scheduling and critical path analysis for multi-agent DAGs.

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete DAG Topological Scheduler capability set.

These are the exact actions your AI can choose when you ask it to work with DAG Topological Scheduler.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through DAG Topological Scheduler.

  1. 01

    Analyze dag structure

    Validates the integrity of the task graph and determines the core sequence and critical path

  2. 02

    Calculate slack and bottlenecks

    Identifies task flexibility and pinpoints the most sensitive tasks in the workflow

  3. 03

    Simulate agent schedule

    Calculates the real-world execution timeline (makespan) and efficiency when limited agents are applied to the workload

Observed, not estimated

801ms average. Fast in production.

DAG Topological Scheduler is checked daily against the live service.

Daily averagePeak 984ms
Aug 20Today
Fastest day
687ms
Slowest day
984ms
14-day trend
Stable+3%

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 DAG Topological Scheduler, so you can see the experience inside your AI.

It does not authenticate your account with DAG Topological Scheduler. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

DAG Topological Scheduler Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XVNVc4tTweXCWVCyHW44A1epxFqNSFXWXTiGbnEP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — DAG Topological Scheduler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dag-topological-scheduler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XVNVc4tTweXCWVCyHW44A1epxFqNSFXWXTiGbnEP/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 DAG Topological Scheduler owners ask.

  • 01

    How does the scheduler handle parallel execution?

    The server uses list scheduling to assign ready tasks to available agents, prioritizing tasks on the critical path to minimize total makespan.

  • 02

    Can it detect errors in my task graph?

    Yes, by using analyze_dag_structure, the engine can detect if a graph contains cycles, which would make it an invalid DAG.

  • 03

    What is a bottleneck task?

    A bottleneck task is a task with zero slack time. Any delay in these tasks will directly delay the entire project completion.

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