obv-calculator Connector for AI agents.
4 live capabilities
Analyze volume flow and detect market divergences
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Why people use obv-calculator
Stop guessing volume trends with OBV Calculator
With this MCP, that manual grind disappears. You give your agent the raw numbers, and it immediately identifies the volume flow, flags divergences, and tells you exactly what the market state is. You get clear, actionable intelligence instead of a headache.
What Vinkius changes
You get deterministic volume intelligence instead of speculative guesses.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Confirming a breakout
A trader sees a price breakout and asks their agent to use calculate_obv_series to see if the volume actually supports the move.
- Real-world use case 02
Spotting a fake rally
Price is hitting new highs, but the agent uses detect_divergences to show that volume is actually falling, signaling a trap.
- Real-world use case 03
Identifying whale activity
An analyst uses classify_volume_flow to determine if a quiet period is actually a massive accumulation phase.
Complete set · 4capabilities
The complete obv-calculator capability set.
These are the exact actions your AI can choose when you ask it to work with obv-calculator.
01—04
4 capabilities in this set.
Part of 4 available through obv-calculator.
- 01 Capability
Analyze obv trends
Calculates smoothing and momentum metrics from existing OBV data. It helps you see the underlying trend through the noise.
- 02 Capability
Calculate obv series
Converts raw price and volume inputs into a full OBV series. This is the foundation for all volume-based analysis.
- 03 Capability
Classify volume flow
Determines if the market is currently accumulating or distributing. It provides a clear label for the current volume state.
- 04 Capability
Detect divergences
Locates mismatches between price direction and volume flow. It flags potential trend reversals before they appear in price.
Set up in minutes
One URL. Then ask obv-calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use obv-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_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable obv-calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator URL.
- Step 03
Save and start
Save the connection and enable obv-calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"obv-calculator": {
"url": "https://edge.vinkius.com/vk_preview_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator
Open Agent mode in chat and ask: "Using obv-calculator, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"obv-calculator": {
"url": "https://edge.vinkius.com/vk_preview_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator
Ask Copilot: "Using obv-calculator, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"obv-calculator": {
"url": "https://edge.vinkius.com/vk_preview_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator
Open Cascade and ask: "Using obv-calculator, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"obv-calculator": {
"url": "https://edge.vinkius.com/vk_preview_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator
Ask Cline: "Using obv-calculator, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add obv-calculator --transport http "https://edge.vinkius.com/vk_preview_ANWeHHb0ynzMzjOyNr2qdr3gZqT73fj0UOzSPHsP/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 obv-calculator
Ask Claude: "Using obv-calculator, show me...". 4 tools are ready
Where the request belongs
Work obv-calculator can move forward.
This is for technical traders and quantitative analysts who need to verify price trends with actual volume flow rather than just looking at candles.
Quantitative Trader
Uses volume divergence to validate entry and exit signals in high-frequency or swing trading.
Technical Analyst
Automates the identification of accumulation and distribution phases across multiple assets.
Algorithmic Researcher
Feeds precise OBV series data into models to test volume-based momentum strategies.
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Bring your own AI
Change the model, client or framework. Keep obv-calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Before you connect
Questions about obv-calculator.
The practical details behind the request, access and result.
How can I use the OBV Calculator MCP to find trend reversals?
You can use the divergence detection capability to find instances where price is moving up but volume is moving down, which often signals a reversal.
Can I connect the OBV Calculator MCP to Claude?
Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through the Vinkius platform.
Does the OBV Calculator MCP work with real-time data?
Yes, as long as you feed the most recent price and volume data points into your agent, it will perform the calculations instantly.
What is the difference between accumulation and distribution in this MCP?
The capability classifies accumulation when volume flow supports rising prices (buying pressure) and distribution when volume flow supports falling prices (selling pressure).
Is the OBV Calculator MCP useful for crypto trading?
Absolutely. It is highly effective for identifying whether crypto price movements are driven by real volume or just low-liquidity volatility.
What is On-Balance Volume (OBV)?
OBV is a momentum indicator that uses volume flow to predict changes in stock price by analyzing whether volume is flowing into or out of a security.
How do I detect market accumulation?
You can use the classify_volume_flow capability to identify Accumulation, which is characterized by rising OBV or bullish divergence.
Can I detect price-volume divergences?
Yes, the detect_divergences capability identifies discrepancies where price movement and OBV movement do not align.
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