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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Composition Pattern Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Find the fastest, most efficient execution path for your agents.

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 Composition Pattern Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Composition Pattern Calculator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Composition Pattern Calculator.

  1. 01

    Analyze bottlenecks

    Identifies specific points of failure or delay within a completed execution plan

  2. 02

    Evaluate optimization strategy

    Compares different orchestration patterns to recommend the best one based on the user's specific goal

  3. 03

    Get execution plan

    Generates the specific execution sequence and performance metrics for a given agent workflow

Observed, not estimated

828ms average. Fast in production.

Agent Composition Pattern Calculator is checked daily against the live service.

Daily averagePeak 1004ms
Aug 20Today
Fastest day
645ms
Slowest day
1004ms
14-day trend
Slowing+12%

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 Composition Pattern Calculator, so you can see the experience inside your AI.

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

Agent Composition Pattern Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/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 Composition Pattern Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-composition-pattern-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/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 Composition Pattern Calculator owners hand off.

This MCP is built for AI architects and machine learning engineers. If your job involves designing multi-step agent processes, this capability lets you mathematically prove your design is efficient before you write a single line of production code. It moves your workflow design from guesswork to deterministic calculation.

  • 01

    AI Architect

    Designs the high-level structure of agent interactions and needs to prove the optimal flow.

  • 02

    ML Engineer

    Builds and tests the actual agent chains, needing to quantify latency and bottlenecks.

  • 03

    Workflow Designer

    Maps out complex business processes that must be executed by multiple, interconnected agents.

FAQ

Questions Agent Composition Pattern Calculator owners ask.

  • 01

    Does this MCP only calculate latency?

    No. While latency is a key metric, the capability also calculates pattern efficiency and helps you identify the specific agent that is causing the bottleneck in the overall workflow.

  • 02

    What kind of workflow patterns can I simulate?

    You can simulate several patterns, including sequential, parallel, pipeline, map_reduce, and router patterns. This covers most complex agent orchestration needs.

  • 03

    Do I need to know the agent latencies beforehand?

    Yes, the capability requires you to provide the performance metrics or expected latencies for the agents you are modeling to run the calculations.

  • 04

    Is this useful for optimizing cost, or just speed?

    It handles both. You can set your optimization goal to minimize latency, or you can set it to minimize cost, allowing you to balance speed against resource usage.

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