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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent DAG Scheduler with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Determines the exact timing and order for complex agent workflows.

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 Agent DAG Scheduler capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent DAG Scheduler.

  1. 01

    Analyze workflow structure

    Validates the integrity of the provided task graph and determines the fundamental execution sequence

  2. 02

    Get task timing details

    Provides a deep dive into the temporal constraints of a specific task within a specific schedule

  3. 03

    Simulate execution schedule

    Calculates the actual timing and resource utilization of the workflow given a limited number of execution slots

Observed, not estimated

815ms average. Fast in production.

Agent DAG Scheduler is checked daily against the live service.

Daily averagePeak 977ms
Aug 20Today
Fastest day
707ms
Slowest day
977ms
14-day trend
Stable-1%

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

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

Agent DAG Scheduler Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_O656AYX4WRWVNQ5H3XQd1rmgQGzNZ6Q3H91k9qor/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 — Agent DAG Scheduler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-dag-scheduler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_O656AYX4WRWVNQ5H3XQd1rmgQGzNZ6Q3H91k9qor/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

Who it's for

Built for the work Agent DAG Scheduler owners hand off.

This MCP is essential for anyone building complex, multi-step automated workflows. If your process involves multiple agents that must run in a specific, dependent order, this capability gives you the timing certainty you need. It moves your workflow from theoretical planning to predictable execution.

  • 01

    Workflow Architect

    Builds and validates the entire structure of agent interactions, ensuring no dead ends or circular dependencies exist.

  • 02

    Data Engineer

    Models data pipelines where the output of one step dictates the start time of the next, requiring precise timing calculations.

  • 03

    Project Manager

    Predicts the overall duration of a project phase, accounting for limited resources and parallel execution constraints.

FAQ

Questions Agent DAG Scheduler owners ask.

  • 01

    What is a DAG and why do I need this MCP?

    A DAG is a Directed Acyclic Graph, which is just a fancy way of saying a workflow with steps that have a clear, non-repeating order. You need this MCP because it calculates the timing and order for those steps, preventing your agents from running out of sequence or getting stuck in a loop.

  • 02

    Does this MCP handle resource limitations?

    Yes. The simulate_execution_schedule capability lets you input a limited number of parallel slots. It then calculates the actual wall-clock time and efficiency based on those constraints, giving you a realistic timeline.

  • 03

    What if my workflow has a cycle?

    If your workflow has a cycle (meaning Agent A depends on Agent B, and Agent B depends on Agent A), the analyze_workflow_structure capability will detect it and tell you the exact path of the cycle, allowing you to fix the logic.

  • 04

    Can I find out how flexible a task's timing is?

    The get_task_timing_details capability gives you a deep dive into specific tasks. It reports metrics like slack time, which tells you how much wiggle room that task has within the overall schedule.

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