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Connect Sliding Window Aggregator to ChatGPT and Claude

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. Turn raw metric streams into actionable windowed data.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Sliding Window Aggregator.

  1. 01

    Analyze trends

    This capability calculates the direction of metric movement using linear regression. You provide a JSON array of timestamped values to get the slope and stability status.

  2. 02

    Check alerts

    This capability checks window history for threshold violations. It tells you if a metric is currently alerting and how many consecutive violations have occurred.

  3. 03

    Process metrics

    This capability transforms raw, timestamped data into windowed results. It handles the math for window sizes and slide intervals to produce aggregated values.

Real work

What teams actually run

01

System Health Monitoring

Monitor CPU or memory usage by aggregating raw spikes into smoothed windowed averages.

02

IoT Sensor Validation

Identify when a hardware sensor stops sending data or begins sending faulty readings.

03

Predictive Trend Analysis

Determine if a growing metric like disk usage is increasing fast enough to require action.

04

Threshold Alerting

Flag when a metric stays above a set limit for a specific number of consecutive windows.

One connector, every AI

Sliding Window Aggregator 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 Sliding Window Aggregator 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

832ms average. Fast in production.

Sliding Window Aggregator is checked daily against the live service.

Daily averagePeak 960ms
Oct 3Today
Fastest day
721ms
Slowest day
960ms
14-day trend
Improving-10%

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 Sliding Window Aggregator, so you can see the experience inside your AI.

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

Sliding Window Aggregator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qSzdTgEJR9Mb1QnHPDqIWEWAK1bnC7BDP5vYViDL/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 — Sliding Window Aggregator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sliding-window-aggregator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qSzdTgEJR9Mb1QnHPDqIWEWAK1bnC7BDP5vYViDL/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 Sliding Window Aggregator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Sliding Window Aggregator owners hand off.

This MCP is for engineers and analysts who need to perform time-series math without writing custom aggregation logic.

  • 01

    Data Engineer

    Hands off raw metric streams to the agent to get cleaned, windowed datasets.

  • 02

    SRE / DevOps Engineer

    Uses the capability to monitor system health and detect threshold violations via an AI client.

  • 03

    IoT Developer

    Relies on the engine to detect sensor malfunctions and data gaps in real time.

FAQ

Questions Sliding Window Aggregator owners ask.

  • 01

    What is a sliding window aggregator?

    It is a capability that processes a stream of data points into overlapping time windows to calculate averages, sums, or other metrics.

  • 02

    How does this MCP detect sensor errors?

    The engine automatically identifies data gaps and sensor malfunctions within the metric stream.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 04

    Does it support linear regression?

    Yes, the analyze_trends capability uses linear regression to calculate the slope and direction of metric movement.

  • 05

    How are alerts handled?

    The check_alerts capability monitors windowed history to see if values violate your defined thresholds.

  • 06

    How does the engine handle window overlaps?

    Overlaps occur when the window size is larger than the slide interval. The engine calculates these windows deterministically based on your provided parameters.

  • 07

    What triggers an alert?

    An alert is triggered via check_alerts if a metric exceeds the specified threshold for three consecutive windows.

  • 08

    How is a sensor malfunction detected?

    A malfunction flag is set if more than 50% of the data points in a window are identified as statistical outliers.

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