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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Workflow Bottleneck Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint exactly where your agent workflows slow down.

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 Workflow Bottleneck Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Workflow Bottleneck Analyzer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Workflow Bottleneck Analyzer.

  1. 01

    Analyze pipeline health

    Provides a high-level diagnostic overview of the entire workflow

  2. 02

    Calculate stage impacts

    Breaks down the specific contribution of each stage to the total latency and cumulative error risk

  3. 03

    Get optimization roadmap

    Ranks the stages in order of importance for engineering intervention

Observed, not estimated

849ms average. Fast in production.

Agent Workflow Bottleneck Analyzer is checked daily against the live service.

Daily averagePeak 1055ms
Aug 22Today
Fastest day
685ms
Slowest day
1055ms
14-day trend
Improving-7%

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 Workflow Bottleneck Analyzer, so you can see the experience inside your AI.

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

Agent Workflow Bottleneck Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_NzGKm5rkMNG5wb3ArwX3srzCUizSp07mQuDJchM4/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 Workflow Bottleneck Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-workflow-bottleneck-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NzGKm5rkMNG5wb3ArwX3srzCUizSp07mQuDJchM4/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 Workflow Bottleneck Analyzer owners hand off.

This MCP is built for technical teams managing complex, multi-step AI workflows. If you're responsible for keeping agent pipelines reliable and fast, this capability gives you the data to prove where the bottlenecks are. It moves you past guesswork and straight to actionable engineering tasks.

  • 01

    DevOps Engineer

    Use this to monitor production pipelines, identify performance regressions, and validate service level agreements (SLAs).

  • 02

    ML Engineer

    Run diagnostics on agentic workflows to pinpoint which model call or data transformation step is causing unacceptable latency.

  • 03

    System Architect

    Model and analyze the theoretical performance of new pipeline designs before writing a single line of code.

FAQ

Questions Agent Workflow Bottleneck Analyzer owners ask.

  • 01

    Does this MCP handle Service Level Agreements (SLAs)?

    Yes. You can input your total SLA requirement, and the MCP will analyze the pipeline to determine if the current stage contributions cause the total latency to exceed that limit.

  • 02

    Is this for real-time monitoring?

    The MCP performs deterministic analysis on provided data sets. It analyzes the metrics you give it (like average latency and queue size) to diagnose potential issues, rather than monitoring a live stream.

  • 03

    What kind of pipelines can I analyze?

    It is designed for multi-stage agentic pipelines. This means any workflow that passes data through several distinct, sequential steps or services.

  • 04

    What is the difference between 'latency' and 'queue wait time'?

    Latency is the time spent actively processing data in a stage. Queue wait time is the time the data sits waiting in line before the stage can process it.

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