Rogers-Satchell Volatility Calculator Connector for AI agents.
3 live capabilities
Calculate drift-independent volatility for financial assets
Waiting for input…
Why people use Rogers-Satchell Volatility Calculator
Fixing biased volatility estimates with Rogers-Satchell
With this MCP, you just hand the raw price data to your agent. It handles the heavy lifting of the Rogers-Satchell math, giving you a drift-independent number that actually reflects market movement rather than just direction.
What Vinkius changes
You provide price data and get back mathematically robust volatility metrics.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Analyzing trending stocks
A trader asks their agent to calculate volatility for a stock in a massive bull run.
- Real-world use case 02
Comparing risk models
A quant needs to know if the Parkinson model is underestimating risk.
- Real-world use case 03
Detecting volatility spikes
A risk manager wants to know if today's movement is unusual.
Complete set · 3capabilities
The complete Rogers-Satchell Volatility Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Rogers-Satchell Volatility Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Rogers-Satchell Volatility Calculator.
- 01 Capability
Calculate rs volatility
Calculates the deterministic Rogers-Satchell volatility for a specific price series. It provides a robust measure that ignores price drift.
- 02 Capability
Calculate volatility comparison
Compares Rogers-Satchell results against Parkinson and Garman-Klass models. This helps you see how different estimators interpret the same data.
- 03 Capability
Get volatility percentile
Finds the percentile rank of recent volatility within a historical window. It shows if current market movement is extreme or normal.
Set up in minutes
One URL. Then ask Rogers-Satchell Volatility Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Rogers-Satchell 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_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Rogers-Satchell Volatility Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator URL.
- Step 03
Save and start
Save the connection and enable Rogers-Satchell Volatility Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"rogers-satchell-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator
Open Agent mode in chat and ask: "Using Rogers-Satchell Volatility Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"rogers-satchell-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator
Ask Copilot: "Using Rogers-Satchell Volatility Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"rogers-satchell-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator
Open Cascade and ask: "Using Rogers-Satchell Volatility Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"rogers-satchell-volatility-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator
Ask Cline: "Using Rogers-Satchell Volatility Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add rogers-satchell-volatility-calculator --transport http "https://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/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 Rogers-Satchell Volatility Calculator
Ask Claude: "Using Rogers-Satchell Volatility Calculator, show me...". 3 tools are ready
Where the request belongs
Work Rogers-Satchell Volatility can move forward.
Quantitative analysts and risk managers who need reliable volatility measures that don't fail during trending markets.
Quantitative Researcher
Uses the MCP to quickly test different volatility models against new datasets during model validation.
Risk Manager
Checks real-time volatility percentiles to see if current market movements are outliers.
Algorithmic Trader
Integrates drift-independent volatility estimates into strategy backtesting to avoid skewed risk parameters.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
TOTVS
Orchestrate TOTVS ERP services. manage employees, handle financials, and monitor BPM workflows directly from any AI agent.
Razorpay
Automate online payments via Razorpay. manage orders, payments, and refunds directly from any AI agent.
Square
Manage payments, customers, and inventory on Square with AI agents.
X Ads (Twitter)
Connect your X Ads account to any AI agent. audit campaigns, analyze line item performance, and pull engagement reports through natural conversation.
Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Gmail
Manage your inbox from AI. read, search, organize, and reply to emails across your Gmail efficiently.
Bring your own AI
Change the model, client or framework. Keep Rogers-Satchell Volatility connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Rogers-Satchell Volatility.
The practical details behind the request, access and result.
How does the Rogers-Satchell MCP handle trending markets?
It uses a drift-independent formula that separates price direction from actual volatility, ensuring your risk estimates stay accurate even when prices are moving strongly in one direction.
Can I use this Rogers-Satchell MCP to compare different risk models?
Yes, you can ask your agent to compare the Rogers-Satchell results against other common estimators like Parkinson or Garman-Klass to see how they differ for your specific data.
How do I know if current volatility is an outlier using this MCP?
You can use the percentile capability to compare the most recent volatility value against a historical window, which tells you exactly where the current movement ranks.
What kind of data does the Rogers-Satchell MCP need?
The MCP requires OHLC data, which includes the Open, High, Low, and Close prices for each period in your series.
Can I use this Rogers-Satchell MCP with Claude or Cursor?
Yes, as long as your client is MCP-compatible, you can connect this to Claude, Cursor, Windsurf, or VS Code to perform these calculations.
One connection away
Give your agent a direct line to Rogers-Satchell Volatility.
Connect Rogers-Satchell Volatility once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available