An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Agent Composition Pattern Calculator to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Find the fastest, most efficient execution path for your agents.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Composition Pattern Calculator.

  1. 01

    Evaluate optimization strategy

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

  2. 02

    Get execution plan

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

  3. 03

    Analyze bottlenecks

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

Real work

What teams actually run

01

Complex Data Processing Pipelines

When an agent must read data, clean it, and then summarize it, this MCP calculates the fastest sequence of those three steps.

02

Multi-Step Customer Support Bots

If a bot needs to check user history, then route the query, and finally generate a ticket, this capability finds the most efficient routing pattern.

03

Financial Report Generation

For reports requiring multiple data sources to be pulled, processed, and compiled, you use this to minimize the time between data ingestion and final output.

04

Research Agent Chains

When an agent needs to perform parallel searches across multiple databases and then synthesize the results, this calculates the total time required.

One connector, every AI

Agent Composition Pattern Calculator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Agent Composition Pattern Calculator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

871ms average. Fast in production.

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

Daily averagePeak 966ms
Oct 12Today
Fastest day
750ms
Slowest day
966ms
14-day trend
Stable+4%

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

Guided setup for Claude? Set up Agent Composition Pattern Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

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.

  • 05

    How do I calculate the best pattern for my agents?

    Use the evaluate_optimization_strategy capability. Provide your agent chain and your optimization goal, and it will simulate all patterns to recommend the best one.

  • 06

    What is a bottleneck agent?

    A bottleneck agent is the specific agent in your chain whose latency contributes most significantly to the total workflow delay. You can identify it using analyze_bottlenecks.

  • 07

    Can I optimize for cost instead of speed?

    Yes, you can set your optimizationGoal to minimize_cost when calling capabilities like get_execution_plan or evaluate_optimization_strategy.

Explore

More in Optimization

Suggestions

Connect Agent Composition Pattern Calculator to Claude, Cursor, ChatGPT & more