Variable Index Dynamic Average (VIDYA) Calculator Connector for AI agents.
3 live capabilities
Adaptive technical analysis for volatility-based momentum tracking
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Why people use Variable Index Dynamic Average (VIDYA) Calculator
Stop lagging behind price with Variable Index Dynamic Average (VIDYA) momentum
With this MCP, that manual tuning disappears. Your agent calculates the adaptive smoothing automatically by looking at volatility, giving you a single, intelligent line that stays tight during moves and wide during chop.
What Vinkius changes
You get a volatility-aware technical indicator that adapts to market speed automatically.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Detecting breakout momentum
A trader asks their agent to check if a sudden price spike is a true breakout or just noise using calculate_vidya_series.
- Real-world use case 02
Filtering sideways markets
An analyst uses detect_vidya_regime to avoid entering trades when the market is in a neutral, low-momentum state.
- Real-world use case 03
Backtesting adaptive strategies
A developer generates large datasets of adaptive responses to see how a strategy would have performed in high-volatility periods.
Complete set · 3capabilities
The complete Variable Index Dynamic Average (VIDYA) Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Variable Index Dynamic Average (VIDYA) Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Variable Index Dynamic Average (VIDYA) Calculator.
- 01 Capability
Calculate vidya series
Computes the full series of VIDYA values, slopes, and adaptive responses for a price dataset. This helps you build complete technical charts.
- 02 Capability
Detect vidya regime
Identifies if the market is in a Bullish, Bearish, or Neutral state. It uses the relationship between price and the adaptive line.
- 03 Capability
Get vidya summary
Provides a statistical snapshot of how the indicator behaved over a specific range. It's useful for quick trend reviews.
Set up in minutes
One URL. Then ask Variable Index Dynamic Average (VIDYA) Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Variable Index Dynamic Average (VIDYA) 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_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Variable Index Dynamic Average (VIDYA) Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator URL.
- Step 03
Save and start
Save the connection and enable Variable Index Dynamic Average (VIDYA) Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"variable-index-dynamic-average-vidya-calculator": {
"url": "https://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator
Open Agent mode in chat and ask: "Using Variable Index Dynamic Average (VIDYA) Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"variable-index-dynamic-average-vidya-calculator": {
"url": "https://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator
Ask Copilot: "Using Variable Index Dynamic Average (VIDYA) Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"variable-index-dynamic-average-vidya-calculator": {
"url": "https://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator
Open Cascade and ask: "Using Variable Index Dynamic Average (VIDYA) Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"variable-index-dynamic-average-vidya-calculator": {
"url": "https://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator
Ask Cline: "Using Variable Index Dynamic Average (VIDYA) Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add variable-index-dynamic-average-vidya-calculator --transport http "https://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average (VIDYA) Calculator
Ask Claude: "Using Variable Index Dynamic Average (VIDYA) Calculator, show me...". 3 tools are ready
Where the request belongs
Work Variable Index Dynamic Average can move forward.
Quantitative traders and technical analysts who need adaptive indicators that don't lag during breakouts or whip-saw during consolidation.
Quantitative Trader
Uses the capability to build automated trend-following strategies that adjust to volatility.
Technical Analyst
Analyzes market regimes to confirm trend strength before entering positions.
Algorithmic Developer
Generates smoothed price series to test adaptive momentum models.
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Before you connect
Questions about Variable Index Dynamic Average.
The practical details behind the request, access and result.
How does the Variable Index Dynamic Average (VIDYA) MCP help my trading?
It provides an adaptive indicator that adjusts to market volatility. This means you get less lag during fast price moves and fewer false signals during sideways markets.
Can I use this VIDYA MCP to identify market trends?
Yes. You can use it to instantly classify whether the market is in a bullish, bearish, or neutral regime based on how price interacts with the adaptive average.
What makes this VIDYA MCP different from a standard moving average?
Standard averages use a fixed smoothing period. This MCP uses the Chande Momentum Oscillator to change its smoothing speed dynamically as volatility changes.
Which AI clients can use the Variable Index Dynamic Average (VIDYA) MCP?
You can connect this MCP to any compatible client, including Claude, Cursor, Windsurf, and VS Code.
Can I get statistical summaries of price trends with this VIDYA MCP?
Yes. You can request high-level statistical snapshots of the indicator's behavior over specific price ranges to understand recent momentum.
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