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Connect Time Series Seasonality Engine 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. Replace subjective guesses with mathematical proof of seasonality.

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Native V8.

  1. 01

    Calculate acf seasonality

    This capability calculates the Autocorrelation Function (ACF) for a time-series to detect specific seasonality lags.

Real work

What teams actually run

01

Retail Sales Forecasting

Identify if sales spikes happen every 7 days to optimize inventory levels.

02

Website Traffic Analysis

Confirm if user activity follows a predictable weekly or monthly cycle.

03

System Monitoring

Determine if server error spikes are periodic or entirely random events.

04

Environmental Data Study

Verify seasonal temperature fluctuations using precise autocorrelation lags.

Automate a task

Put Native V8 to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Native V8 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 Native V8 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

825ms average. Fast in production.

Native V8 is checked daily against the live service.

Daily averagePeak 984ms
Oct 3Today
Fastest day
602ms
Slowest day
984ms
14-day trend
Improving-12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Native V8, so you can see the experience inside your AI.

It does not authenticate your account with Native V8. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Native V8 Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_SMBQyC3tcWvD9JFffA0m0Dfl8KQAaHVeN5ayz86U/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 — Native V8 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "time-series-seasonality-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SMBQyC3tcWvD9JFffA0m0Dfl8KQAaHVeN5ayz86U/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 Native V8 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Native V8 owners hand off.

This MCP is built for professionals who need to move beyond visual trend analysis into statistical validation.

  • 01

    Data Scientists

    They hand off raw time-series datasets to the agent to get instant ACF values.

  • 02

    Financial Analysts

    They use the agent to prove seasonal revenue cycles in monthly or quarterly data.

  • 03

    Operations Managers

    They use the capability to check if server errors or supply chain fluctuations follow a pattern.

FAQ

Questions Native V8 owners ask.

  • 01

    How is this different from asking an AI to look at a chart?

    Asking an AI to look at a chart relies on visual estimation and can lead to hallucinations. This MCP performs actual mathematical calculations to provide exact correlation coefficients.

  • 02

    What kind of data can I use with this MCP?

    You can use any time-series data, such as daily sales, monthly revenue, or hourly sensor readings.

  • 03

    Which AI clients can I use this with?

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

  • 04

    Can I check for specific cycles like weekly or monthly patterns?

    Yes. By checking specific lags, such as lag 7 for weekly or lag 12 for monthly, your agent can identify these cycles.

  • 05

    Do I need to host the MCP myself?

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

  • 06

    What does an ACF score mean?

    Scores range from -1 to 1. A high score at Lag 7 (e.g., 0.85) means that today's value is highly correlated with the value from exactly 7 days ago (a strong weekly cycle).

  • 07

    What is the maximum lag I should check?

    Typically, you should check lags up to 1/3 or 1/4 of your total dataset length. For 3 years of monthly data (36 points), check up to lag 12.

  • 08

    Why can't Claude do this without a capability?

    ACF requires summing the products of mean-adjusted variances across shifting array indices. LLMs cannot compute this in their latent space accurately.

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