Klinger Oscillator Calculator Connector for AI agents.
3 live capabilities
Calculate volume-based momentum and trend reversals
Waiting for input…
Why people use Klinger Oscillator Calculator
Stop manual Klinger Oscillator math with this Klinger Oscillator Calculator
With this MCP, that manual loop disappears. You just hand the data to your agent, and it performs the math, finds the crossovers, and flags the divergences for you. You get the signal, not the math homework.
What Vinkius changes
You provide the raw market data and get back precise Klinger-based technical signals.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Spotting a weakening bull trend
A trader notices price is hitting new highs but asks their agent to run detect_divergences to see if volume momentum is actually dropping.
- Real-world use case 02
Confirming a momentum breakout
An analyst sees a price spike and uses identify_crossovers to confirm if the KVO has crossed above the signal line.
- Real-world use case 03
Backtesting volume signals
A researcher provides a month of historical data and uses calculate_kvo_metrics to build a series of oscillator values for testing.
Complete set · 3capabilities
The complete Klinger Oscillator Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Klinger Oscillator Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Klinger Oscillator Calculator.
- 01 Capability
Calculate kvo metrics
Calculates the Klinger Oscillator and signal line values. This gives your agent the core data needed for trend analysis.
- 02 Capability
Detect divergences
Finds instances where price and KVO momentum are moving in opposite directions. It helps you spot weakening trends.
- 03 Capability
Identify crossovers
Locates where the KVO crosses the signal line. This identifies specific momentum shifts in the market.
Set up in minutes
One URL. Then ask Klinger Oscillator Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Klinger Oscillator 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_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Klinger Oscillator Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator URL.
- Step 03
Save and start
Save the connection and enable Klinger Oscillator Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"klinger-oscillator-calculator": {
"url": "https://edge.vinkius.com/vk_preview_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator
Open Agent mode in chat and ask: "Using Klinger Oscillator Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"klinger-oscillator-calculator": {
"url": "https://edge.vinkius.com/vk_preview_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator
Ask Copilot: "Using Klinger Oscillator Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"klinger-oscillator-calculator": {
"url": "https://edge.vinkius.com/vk_preview_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator
Open Cascade and ask: "Using Klinger Oscillator Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"klinger-oscillator-calculator": {
"url": "https://edge.vinkius.com/vk_preview_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator
Ask Cline: "Using Klinger Oscillator Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add klinger-oscillator-calculator --transport http "https://edge.vinkius.com/vk_preview_dz0slgZJVNr58Tw6tcaPGh0K5Mgk8OWYUoO4qCNs/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 Klinger Oscillator Calculator
Ask Claude: "Using Klinger Oscillator Calculator, show me...". 3 tools are ready
Where the request belongs
Work Klinger Oscillator Calculator can move forward.
This is for traders and quantitative analysts who want to move away from manual chart scanning and toward agent-driven technical analysis.
Quantitative Trader
Uses the agent to scan multiple tickers for KVO divergences during market hours.
Technical Analyst
Validates trend reversals by checking volume force and signal line crossovers.
Algorithmic Researcher
Feeds historical data into the agent to test how KVO signals would have performed in past regimes.
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Bring your own AI
Change the model, client or framework. Keep Klinger Oscillator Calculator connected.
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Before you connect
Questions about Klinger Oscillator Calculator.
The practical details behind the request, access and result.
How can I use the Klinger Oscillator Calculator MCP for my trading?
You can use it to automate the calculation of KVO values and signal lines. It's great for spotting trend reversals through volume-based momentum signals.
Can this Klinger Oscillator Calculator MCP find trend reversals?
Yes. By using the divergence detection capability, the MCP helps you identify when price and volume are moving in opposite directions, which is a classic sign of a trend reversal.
What data do I need to provide to the Klinger Oscillator Calculator MCP?
To get accurate results, you should provide your agent with a dataset containing the high, low, close, and volume values for the period you want to analyze.
Will this Klinger Oscillator Calculator MCP work with my current AI client?
Yes, as long as your client is MCP-compatible, such as Claude, Cursor, or Windsurf, you can connect it and start running technical analysis immediately.
Does the Klinger Oscillator Calculator MCP detect signal line crossovers?
Yes, it has a specific capability to identify exactly when the KVO crosses its signal line, which helps in identifying momentum shifts.
What does the Klinger Oscillator measure?
The Klinger Oscillator measures volume-based momentum to identify trend changes and potential reversals by analyzing the relationship between price action and volume force.
How can I find trend reversals using this capability?
You can use identify_crossovers to find when the KVO crosses its signal line, or detect_divergences to find discrepancies between price movement and KVO momentum.
What data is required for calculations?
To use calculate_kvo_metrics, you must provide arrays for high prices, low prices, close prices, and volume data.
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