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Connect Kaufman Adaptive Moving Average Kama Calc 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. Adjust moving averages to match real market volatility.

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 Kaufman Adaptive Moving Average.

  1. 01

    Calculate kama series

    This capability generates a complete sequence of KAMA values and trend metrics from a list of prices.

  2. 02

    Analyze kama volatility regime

    This capability identifies if the market is currently trending or ranging by looking at recent movement efficiency.

  3. 03

    Get latest kama status

    This capability pulls the most recent trend and volatility data from a series you have already calculated.

Real work

What teams actually run

01

Trend Following

Use the KAMA series to stay aligned with strong price movements while ignoring minor pullbacks.

02

Volatility Filtering

Identify ranging markets to avoid entering trades during low-efficiency periods.

03

Backtesting Validation

Feed historical price data to the MCP to check how an adaptive indicator would have behaved.

04

Automated Alerting

Have your agent monitor the latest KAMA status to trigger notifications when a trend shifts.

One connector, every AI

Kaufman Adaptive Moving 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 Kaufman Adaptive Moving 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

859ms average. Fast in production.

Kaufman Adaptive Moving Average is checked daily against the live service.

Daily averagePeak 1040ms
Oct 3Today
Fastest day
652ms
Slowest day
1040ms
14-day trend
Stable0%

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 Kaufman Adaptive Moving Average, so you can see the experience inside your AI.

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

Kaufman Adaptive Moving Average Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QeHHBMLTwx6vQSFHoSo9kqveZm5WAXFYa3h5Xtzj/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 — Kaufman Adaptive Moving Average capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "kaufman-adaptive-moving-average-kama-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QeHHBMLTwx6vQSFHoSo9kqveZm5WAXFYa3h5Xtzj/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 Kaufman Adaptive Moving Average in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Kaufman Adaptive Moving Average owners hand off.

Quantitative researchers and algorithmic traders use this MCP to add adaptive indicators to their models.

  • 01

    Quantitative Trader

    Hands off price arrays to the AI to generate adaptive trend signals.

  • 02

    Algorithmic Developer

    Uses the deterministic math engine to validate trend-following logic.

  • 03

    Market Analyst

    Asks the agent to identify volatility regimes to avoid choppy markets.

FAQ

Questions Kaufman Adaptive Moving Average owners ask.

  • 01

    How does KAMA differ from a standard moving average?

    KAMA uses an Efficiency Ratio to change its smoothing speed. It speeds up during trends and slows down during noise.

  • 02

    What clients can I use this MCP with?

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

  • 03

    Do I need to host the math engine myself?

    No, Vinkius hosts the MCP and manages everything. You just connect and use it.

  • 04

    Can this MCP identify sideways markets?

    Yes, the analyze_kama_volatility_regime capability specifically determines if a market is trending or ranging.

  • 05

    Is the calculation deterministic?

    Yes, the engine provides deterministic outputs for the KAMA values and trend metrics.

  • 06

    How does KAMA differ from a standard EMA?

    Standard EMAs use a constant smoothing factor. KAMA uses an Efficiency Ratio to change its smoothing speed based on market volatility, making it more responsive to trends and less sensitive to noise.

  • 07

    Can I get the current trend status directly?

    Yes, you can use the get_latest_kama_status capability to retrieve the current KAMA value, slope, and trend direction from a series.

  • 08

    What determines the market regime?

    The analyze_kama_volatility_regime capability determines if the market is TRENDING or RANGING by comparing the most recent Efficiency Ratio to the average ER of the series.

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