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Connect Response Time Average to ChatGPT, Claude and Gemini

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 latency spikes and analyze system performance instantly.

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.

How Vinkius works: one connection, every tool, in any AI
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.

Complete set · 4 capabilities

The complete Response Time Average capability set.

These are the exact actions your AI can choose when you ask it to work with Response Time Average.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Response Time Average.

  1. 01

    Calculate mean latency

    This capability calculates the average response time for a specific set of measurements.

  2. 02

    Detect latency outliers

    This capability identifies unusual response times that deviate significantly from the calculated mean.

  3. 03

    Get latency summary

    This capability provides a high-level overview of your system's performance characteristics.

  4. 04

    Filter latency by range

    This capability filters durations to show only those falling within a specific performance window.

One connector, every AI

Response Time Average 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 Response Time Average 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

1100ms average. Fast in production.

Response Time Average is checked daily against the live service.

Daily averagePeak 1164ms
Sep 23Today
Fastest day
986ms
Slowest day
1164ms
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. 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 Response Time Average, so you can see the experience inside your AI.

It does not authenticate your account with Response Time Average. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Response Time Average Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hWRPSGzI4YV6UB4dWXW5GCdm9gliKscOW3kz8kaR/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 — Response Time Average capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "response-time-average-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hWRPSGzI4YV6UB4dWXW5GCdm9gliKscOW3kz8kaR/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? How to give Claude access to Response Time Average

See all the AI clients this connector works with ↑

Who it's for

Built for the work Response Time Average owners hand off.

This MCP is for technical professionals who need to analyze system performance data using an AI agent.

  • 01

    SRE

    Hands off raw latency logs to the AI to find performance regressions.

  • 02

    DevOps Engineer

    Uses the capability to identify and isolate system outliers during deployments.

  • 03

    Backend Developer

    Analyzes response time distributions to optimize API performance.

FAQ

Questions Response Time Average owners ask.

  • 01

    How do I use this MCP with Claude?

    You connect your Claude client to the Vinkius platform, which hosts the MCP for you. Once connected, your agent can call the latency capabilities directly.

  • 02

    What kind of data does this MCP process?

    It processes latency measurements and response time data to perform statistical analysis.

  • 03

    Can it find specific performance spikes?

    Yes, the detect_latency_outliers capability is designed to find response times that deviate from the mean.

  • 04

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

  • 05

    What is the difference between the summary and the mean capability?

    The mean capability calculates a single average, while the summary capability provides a broader overview of performance characteristics.

  • 06

    What kind of data can I analyze?

    You can analyze any set of non-negative numerical values representing response times in milliseconds.

  • 07

    How do I find unusual latency spikes?

    Use the detect_latency_outliers capability to identify values that deviate significantly from the mean.

  • 08

    Can I get a summary of my performance metrics?

    Yes, the get_latency_summary capability provides the minimum, maximum, mean, and total count of your measurements.

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