
Connect ATR-Calculator 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. Instantly classify market risk using price data.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
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.

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.
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.
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.
01-03
3 capabilities in this set.
Part of 3 available through ATR-Calculator.
- 01
Calculate atr
The calculate_atr capability takes a set of price data and returns the Average True Range percentage, along with a volatility classification (low, medium, or high).
- 02
Validate price data
The validate_price_data capability checks your price arrays to ensure they are mathematically sound and ready for technical analysis.
- 03
Get volatility thresholds
Use get_volatility_thresholds to retrieve the historical percentile boundaries that define the low, medium, and high volatility levels.
Real work
What teams actually run
Pre-Trade Risk Assessment
Before executing a large trade, you run the MCP to classify the current volatility. If the reading is 'high,' you might adjust your position size.
Backtesting Strategy Performance
You use the MCP to calculate ATR across a historical dataset to see how your strategy performed during different volatility regimes.
Data Pipeline Validation
When integrating a new data feed, you run the MCP's validation capability to ensure the price arrays are mathematically sound.
Market Regime Identification
You use the MCP to compare current ATR readings against historical thresholds to determine if the market is entering a new, extreme regime.
One connector, every AI
ATR-Calculator 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put ATR-Calculator 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
867ms average. Fast in production.
ATR-Calculator is checked daily against the live service.
- Fastest day
- 696ms
- Slowest day
- 1176ms
- 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. 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 ATR-Calculator, so you can see the experience inside your AI.
It does not authenticate your account with ATR-Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
ATR-Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_OKkGwiAWn6aKP42VAcraydGwCL77425DZ1piduYN/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — ATR-Calculator capabilities are ready to use.
{
"mcpServers": {
"atr-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_OKkGwiAWn6aKP42VAcraydGwCL77425DZ1piduYN/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 ATR-Calculator in Claude and other AIs
Who it's for
Built for the work ATR-Calculator owners hand off.
This MCP is essential for quantitative analysts, day traders, and financial researchers. If your job involves assessing market risk or building algorithmic trading strategies, this capability provides the necessary metrics. You simply feed the data to your AI client, and it handles the complex calculations.
- 01
Quantitative Analyst
Uses the MCP to validate data inputs and calculate precise ATR values for model testing.
- 02
Day Trader
Relies on the volatility classification to decide if current market conditions are suitable for high-risk trades.
- 03
Financial Researcher
Retrieves historical volatility thresholds to benchmark current market conditions against past performance.
FAQ
Questions ATR-Calculator owners ask.
- 01
What is the difference between ATR and volatility?
ATR is the specific metric calculated by this MCP, measuring the average true range of price movement. Volatility is the classification (low, medium, or high) that the MCP assigns based on the calculated ATR value.
- 02
Does this MCP require me to provide historical data?
Yes. The MCP requires a set of price arrays (High, Low, Close) to perform any calculation. It cannot generate data; it only analyzes what you provide.
- 03
Can I check if my data is usable before calculating anything?
Absolutely. You can use the validate_price_data capability. This checks the mathematical integrity of your price arrays, ensuring they are ready for technical analysis.
- 04
What does 'volatility threshold' mean?
The MCP uses historical percentile boundaries to define what constitutes 'low,' 'medium,' or 'high' volatility. You can use the get_volatility_thresholds capability to see those exact boundaries.
- 05
What is the difference between the smoothing methods?
The server supports Wilder's smoothing (the traditional method), Simple Moving Average (SMA), and Exponential Moving Average (EMA).
- 06
How is volatility classified?
Volatility is classified as low, medium, or high based on where the current ATR percentage sits within the historical distribution of the provided data.
- 07
Can I validate my price data before calculating ATR?
Yes, you can use the validate_price_data capability to check if your high, low, and close price arrays are consistent and valid.
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Connect ATR-Calculator to Claude, Cursor, ChatGPT & more
