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Connect CI/CD Pipeline Duration Analyzer 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 exactly where your build pipelines are slowing down.

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

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through CI/CD Pipeline Duration Analyzer.

  1. 01

    Estimate optimization gains

    This capability calculates how much time you'll save by implementing specific changes. It projects the impact of things like improved caching or removing heavy dependencies.

  2. 02

    Get stage impact breakdown

    This capability breaks down your pipeline by stage. It shows you exactly how much duration each step takes as a percentage of the total runtime.

  3. 03

    Find parallelization opportunities

    This capability scans your execution flow to find sequential stages. It identifies tasks that have no dependency on each other and could run concurrently.

  4. 04

    Compute execution efficiency

    This capability measures how well your pipeline is performing. It compares the critical path duration against the total wall-clock time to find efficiency gaps.

Real work

What teams actually run

01

Reducing Build Latency

Identify the specific stage causing a bottleneck to speed up developer feedback loops.

02

Cost Optimization

Find ways to reduce runner usage by running more tasks in parallel.

03

Pipeline Health Audits

Compare current execution efficiency against historical benchmarks to track performance drift.

04

Planning Refactors

Use optimization estimates to decide if a dependency removal is worth the engineering effort.

One connector, every AI

CI/CD Pipeline Duration Analyzer 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 CI/CD Pipeline Duration Analyzer 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

682ms average. Fast in production.

CI/CD Pipeline Duration Analyzer is checked daily against the live service.

Daily averagePeak 850ms
Oct 3Today
Fastest day
554ms
Slowest day
850ms
14-day trend
Improving-19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 CI/CD Pipeline Duration Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with CI/CD Pipeline Duration Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

CI/CD Pipeline Duration Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_LWblQJi98h7HrgOe12o1ytVDei1EX3ex4rUVQzUF/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 — CI/CD Pipeline Duration Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cicd-pipeline-duration-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LWblQJi98h7HrgOe12o1ytVDei1EX3ex4rUVQzUF/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 CI/CD Pipeline Duration Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work CI/CD Pipeline Duration Analyzer owners hand off.

DevOps engineers and platform teams use this to optimize deployment velocity. You hand off raw pipeline metadata to the AI to get actionable optimization plans.

  • 01

    DevOps Engineer

    Uses the MCP to find and fix slow build stages.

  • 02

    Platform Engineer

    Uses the capability to plan infrastructure and runner optimizations.

  • 03

    SRE

    Uses the data to ensure deployment pipelines meet reliability and speed targets.

FAQ

Questions CI/CD Pipeline Duration Analyzer owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 02

    How does this MCP find parallelization opportunities?

    It analyzes the temporal overlaps and dependency chains in your execution metadata to find stages that can run at the same time.

  • 03

    Can I use this to justify infrastructure changes?

    Yes, you can use the optimization estimation capability to project how much time you will save with different strategies.

  • 04

    What is the difference between wall-clock time and critical path?

    Wall-clock time is the total time the pipeline took to run, while the critical path is the minimum time required to complete the longest sequence of dependent tasks.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect your client.

  • 06

    How can I identify which stages are slowing down my pipeline?

    You can use the get_stage_impact_breakdown capability to see a list of all stages and the percentage of total runtime each one consumes.

  • 07

    What is the efficiency ratio?

    The efficiency ratio, calculated via compute_execution_efficiency, compares the critical path duration to the total wall-clock time. A value closer to 1 indicates a highly optimized pipeline.

  • 08

    Can I simulate future improvements?

    Yes, use estimate_optimization_gains to model how changes like 'cache_improvement' or 'dependency_removal' would impact your total duration.

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