How to Use the MACD & RSI Oscillator Engine MCP in Claude Code

Q: How do I add the MACD & RSI Oscillator Engine to claude-code?

Use the CLI command claude mcp add --transport http macd-rsi-oscillator-engine-mcp -- . Make sure all flags come before the server name to register the MCP Server properly.

Run terminal-based momentum scans on raw price files with Claude Code and local mathematical tools.

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Connect MACD & RSI Oscillator Engine MCP to Claude Code

Create your Vinkius account to connect MACD & RSI Oscillator Engine to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MACD & RSI Oscillator Engine with Claude Code

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Headless Pipeline Integration with Claude Code

The `calculate_macd_rsi` tool integrates directly with Claude Code to process raw price CSV files via the terminal. The CLI agent uses the tool to process the raw numbers and output the momentum metrics straight to your terminal stdout. You can script this in your bash environment to run cron jobs or trigger automated alerts when the RSI drops below 20, keeping your terminal-centric trading setup lightweight.

Fast Signal Audits via MCP Server

Running the `calculate_macd_rsi` tool allows you to perform fast, on-demand momentum audits from your command line. Use this MCP Server to run instant momentum checks directly from your active shell. Tell the CLI agent to check a specific array of numbers. It calls the local indicator tool and prints the MACD line, signal line, and RSI value right in your active terminal session.

Automated Parameter Tuning in the Terminal

The terminal agent uses the `calculate_macd_rsi` tool to test custom fast, slow, and signal periods without boilerplate code. It passes custom periods to the calculation tool and compares the outputs. It helps you quickly spot where default settings fail in trending markets, giving you the raw data needed to adjust your execution parameters before deploying to production.

Setup guide

Set up MACD & RSI Oscillator Engine MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see macd-rsi-oscillator-engine-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest MACD & RSI Oscillator Engine transactions." It will automatically discover and invoke the available MACD & RSI Oscillator Engine tools.

Terminal

claude mcp add --transport http macd-rsi-oscillator-engine-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the MACD & RSI Oscillator Engine MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "macd-rsi-oscillator-engine-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about MACD & RSI Oscillator Engine MCP in Claude Code

Use the CLI command `claude mcp add --transport http macd-rsi-oscillator-engine-mcp -- `. Make sure all flags come before the server name to register the MCP Server properly.

Yes. Tell the CLI agent to read the CSV, extract the close price column, and pass that array to the indicator tool to get your technical metrics.

No. The math is calculated locally in milliseconds, meaning your terminal agent receives the results almost instantly without network bottlenecks.

The tool handles arrays with thousands of data points, though extremely large datasets may be constrained by your local terminal memory limits.

No. Your price arrays are processed entirely within a local, zero-trust MCP sandbox. No external APIs or servers touch your financial data.

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