Garman-Klass Volatility Calculator Connector for AI agents.
3 live capabilities
Calculate high-efficiency volatility metrics using OHLC price data
Waiting for input…
Why people use Garman-Klass Volatility Calculator
Stop missing intraday signals with Garman-Klass Volatility Calculator
With this MCP, you stop guessing. You feed your agent the full OHLC data, and it gives you a precise Garman-Klass metric that actually reflects the intraday reality. You get a much clearer view of risk without the manual math.
What Vinkius changes
You turn raw price data into actionable volatility intelligence through simple natural language commands.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Detecting extreme market moves
A risk manager asks their agent if the current volatility is an outlier, and the agent uses `get_volatility_percentile` to confirm it's in the 99th percentile.
- Real-world use case 02
Validating volatility models
A quant researcher uses `compare_volatility_methods` to see if Garman-Klass provides a better signal than Parkinson for a specific asset.
- Real-world use case 03
Automated risk reporting
An analyst provides a week of OHLC data and has the agent calculate the Garman-Klass metric to include in a daily risk summary.
Complete set · 3capabilities
The complete Garman-Klass Volatility Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Garman-Klass Volatility Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Garman-Klass Volatility Calculator.
- 01 Capability
Calculate gk volatility
Computes the primary Garman-Klass volatility metric from OHLC data. It provides a more efficient estimate than Parkinson volatility by including price direction.
- 02 Capability
Compare volatility methods
Runs a comparative analysis between different volatility estimators. Use this to see how Garman-Klass performs against Parkinson or Close-to-Close models.
- 03 Capability
Get volatility percentile
Determines the relative extremity of current volatility. It helps you identify if market turbulence is a statistical outlier.
Set up in minutes
One URL. Then ask Garman-Klass Volatility Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Garman-Klass Volatility Calculator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Garman-Klass Volatility Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Garman-Klass Volatility Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Garman-Klass Volatility Calculator URL.
- Step 03
Save and start
Save the connection and enable Garman-Klass Volatility Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"garman-klass-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Garman-Klass Volatility Calculator
Open Agent mode in chat and ask: "Using Garman-Klass Volatility Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"garman-klass-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Garman-Klass Volatility Calculator
Ask Copilot: "Using Garman-Klass Volatility Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"garman-klass-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Garman-Klass Volatility Calculator
Open Cascade and ask: "Using Garman-Klass Volatility Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"garman-klass-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Garman-Klass Volatility Calculator
Ask Cline: "Using Garman-Klass Volatility Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add garman-klass-volatility-calculator --transport http "https://edge.vinkius.com/vk_preview_HhDeXzHewwxkUE53x5VMfdGnsiRGZyjMQzMiZZQi/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Garman-Klass Volatility Calculator
Ask Claude: "Using Garman-Klass Volatility Calculator, show me...". 3 tools are ready
Where the request belongs
Work Garman-Klass Volatility Calculator can move forward.
This is built for quantitative analysts and risk managers who need to move beyond basic volatility measures without writing custom Python scripts every time they want to check a metric.
Quantitative Researcher
Uses the capability to quickly test new volatility models against historical price data.
Risk Manager
Checks if current market volatility is an outlier to adjust position sizing or hedge ratios.
Algorithmic Trader
Integrates high-efficiency volatility estimates into strategy backtesting workflows.
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Before you connect
Questions about Garman-Klass Volatility Calculator.
The practical details behind the request, access and result.
How does the Garman-Klass Volatility Calculator MCP improve my risk analysis?
It provides a more accurate measure of market turbulence by using intraday price data (OHLC) rather than just closing prices, giving you a better sense of real risk.
Can I use the Garman-Klass Volatility Calculator MCP to compare different models?
Yes. You can have your agent compare the Garman-Klass metric against other common estimators like Parkinson or Close-to-Close to see which is most effective for your specific asset.
How do I know if current market volatility is an outlier using this MCP?
You can use the percentile capability to compare the current volatility against a provided list of historical values, which tells you exactly how extreme the current movement is.
What kind of data do I need to provide to this MCP?
To get the most accurate results, you should provide arrays containing the Open, High, Low, and Close prices for the period you are analyzing.
Is this MCP compatible with Claude or Cursor?
Yes, this MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf.
One connection away
Give your agent a direct line to Garman-Klass Volatility Calculator.
Connect Garman-Klass Volatility Calculator once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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