Relative Vigor Index Calculator Connector for AI agents.
3 live capabilities
Automate momentum signal detection and price divergence analysis
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Why people use Relative Vigor Index Calculator
Stop manual momentum math with Relative Vigor Index (RVI) Calculator
With this MCP, that manual loop disappears. You just hand the raw price data to your agent, and it performs the RVI math instantly. You get the exact signal line values and divergence alerts you need without the math headache.
What Vinkius changes
You turn raw price lists into professional-grade momentum signals.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Detecting momentum exhaustion
A trader notices a price rally and asks their agent to check if the RVI is diverging to see if the move is losing steam.
- Real-world use case 02
Automating trend confirmation
An analyst provides recent OHLC data to confirm if a zero-line cross has actually occurred.
- Real-world use case 03
Scanning for volatility shifts
A quant uses a summary capability to quickly assess if current market vigor is increasing or decreasing.
Complete set · 3capabilities
The complete Relative Vigor Index Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Relative Vigor Index Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Relative Vigor Index Calculator.
- 01 Capability
Calculate rvi metrics
Computes RVI, signal lines, and momentum signals from price data. It provides the core mathematical foundation for momentum analysis.
- 02 Capability
Detect divergence patterns
Finds and describes instances where price and RVI move in different directions. This helps identify potential trend reversals.
- 03 Capability
Get rvi summary
Generates a statistical overview of the current RVI state. It's useful for getting a quick sense of trend and volatility.
Set up in minutes
One URL. Then ask Relative Vigor Index Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Relative Vigor Index 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_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Relative Vigor Index Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator URL.
- Step 03
Save and start
Save the connection and enable Relative Vigor Index Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"relative-vigor-index-rvi-calculator": {
"url": "https://edge.vinkius.com/vk_preview_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator
Open Agent mode in chat and ask: "Using Relative Vigor Index Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"relative-vigor-index-rvi-calculator": {
"url": "https://edge.vinkius.com/vk_preview_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator
Ask Copilot: "Using Relative Vigor Index Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"relative-vigor-index-rvi-calculator": {
"url": "https://edge.vinkius.com/vk_preview_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator
Open Cascade and ask: "Using Relative Vigor Index Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"relative-vigor-index-rvi-calculator": {
"url": "https://edge.vinkius.com/vk_preview_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator
Ask Cline: "Using Relative Vigor Index Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add relative-vigor-index-rvi-calculator --transport http "https://edge.vinkius.com/vk_preview_71orRl2vaO18hezuCBejxg8cM35O9RMWPqQyk14q/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 Relative Vigor Index Calculator
Ask Claude: "Using Relative Vigor Index Calculator, show me...". 3 tools are ready
Where the request belongs
Work Relative Vigor Index Calculator can move forward.
This is for technical traders and quantitative analysts who want to automate the detection of momentum shifts using AI agents.
Quantitative Trader
Uses the capability to automate the detection of RVI divergences across multiple assets.
Technical Analyst
Relies on precise signal line crossovers to validate trend changes.
Algorithmic Developer
Integrates deterministic RVI math into agent-based trading workflows.
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Bring your own AI
Change the model, client or framework. Keep Relative Vigor Index Calculator connected.
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Before you connect
Questions about Relative Vigor Index Calculator.
The practical details behind the request, access and result.
How can I use the Relative Vigor Index (RVI) Calculator MCP for my trading?
You can use it to automate the calculation of momentum indicators and signal line crossovers. Instead of manual math, your agent can process price data to find specific RVI trends.
Can this Relative Vigor Index (RVI) Calculator MCP detect trend reversals?
Yes. By identifying divergences between price and RVI, the capability helps you spot when a trend is losing its strength and might be about to reverse.
Does the Relative Vigor Index (RVI) Calculator MCP work with any price data?
It works with any standard OHLC (Open, High, Low, Close) data you provide to your AI client.
Is the Relative Vigor Index (RVI) Calculator MCP accurate for technical analysis?
Yes, it provides deterministic mathematical calculations, which is much more reliable than asking an AI to estimate indicators based on visual charts.
How do I find signal line crossovers with the Relative Vigor Index (RVI) Calculator MCP?
Your agent can use the calculation capabilities to monitor the relationship between the RVI and the signal line, alerting you whenever a crossover occurs.
What signals can this capability identify?
The capability identifies zero-line crosses, signal crossovers, and bullish or bearish divergences using calculate_rvi_metrics and detect_divergence_patterns.
How is the RVI smoothed?
RVI components are smoothed using a Simple Moving Average (SMA) over a user-defined period, which defaults to 10.
What data format is required?
The capabilities require JSON arrays of OHLC (Open, High, Low, Close) price data or arrays of RVI/Signal Line float values.
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