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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Multi-Agent Parallelization Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Optimize agent workflow execution timing and resource efficiency.

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 Multi-Agent Parallelization Optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with Multi-Agent Parallelization Optimizer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Multi-Agent Parallelization Optimizer.

  1. 01

    Analyze workflow efficiency

    Evaluates the performance metrics of a specific agent workflow configuration

  2. 02

    Find critical path bottlenecks

    Identifies which specific tasks are preventing the workflow from finishing faster

  3. 03

    Simulate scaling impact

    Predicts how increasing the number of workers will affect the total execution time and speedup

Observed, not estimated

869ms average. Fast in production.

Multi-Agent Parallelization Optimizer is checked daily against the live service.

Daily averagePeak 995ms
Aug 22Today
Fastest day
650ms
Slowest day
995ms
14-day trend
Improving-30%

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 Multi-Agent Parallelization Optimizer, so you can see the experience inside your AI.

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

Multi-Agent Parallelization Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_5eSitOVoMcOP6OBiWrt54MlGHlgep5wqBhPvBlib/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 — Multi-Agent Parallelization Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "multi-agent-parallelization-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5eSitOVoMcOP6OBiWrt54MlGHlgep5wqBhPvBlib/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 Multi-Agent Parallelization Optimizer owners ask.

  • 01

    How do I find the best number of workers for my tasks?

    You can use the analyze_workflow_efficiency capability. It calculates the optimal_worker_count, which is the point where adding more workers provides less than a 10% improvement in duration.

  • 02

    What is the critical path in my workflow?

    The critical path is the longest sequence of dependent tasks. You can identify these specific tasks using the find_critical_path_bottlenecks capability.

  • 03

    Can I predict how scaling will affect my speedup?

    Yes, the simulate_scaling_impact capability allows you to simulate different worker counts to see how they affect total execution time and the speedup ratio.

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