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How to Use the MACD & RSI Oscillator Engine MCP in Mastra AI

Build unbreakable analysis workflows. Trigger MACD and RSI calculations as a reliable step in any Mastra AI agent process.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect MACD & RSI Oscillator Engine MCP to Mastra AI

Create your Vinkius account to connect MACD & RSI Oscillator Engine to Mastra AI 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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Make Analysis a Workflow Step

The `calculate_macd_rsi` tool isn't just a function call; it's a durable step in your Mastra AI workflow. Your agent can fetch market data, run the analysis, and then use the result to decide the next action. If the MACD histogram turns positive, branch to a 'buy signal' task. If RSI crosses 70, trigger a 'review position' task. This is how you automate trading logic.

Reliable Execution with Mastra AI

Mastra AI's workflow engine ensures your analysis runs. If a network blip causes a request to fail, Mastra automatically retries with exponential backoff. You don't write any of that logic. This MCP Server becomes a rock-solid part of your system. You define the workflow, and Mastra makes sure the `calculate_macd_rsi` tool gets executed, period.

Human-in-the-Loop Signals

You don't have to fully automate everything. Use Mastra's `requireToolApproval` feature with this MCP tool. Your agent can run the MACD/RSI analysis, and then pause the workflow. It then waits for a human to approve the result before proceeding to the next step, like placing an order. It's the perfect balance between automated analysis and manual control.

Setup guide

Set up MACD & RSI Oscillator Engine MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All MACD & RSI Oscillator Engine tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "macd-rsi-oscillator-engine-mcp-client",
  servers: {
    "macd-rsi-oscillator-engine-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "MACD & RSI Oscillator Engine Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to MACD & RSI Oscillator Engine tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent MACD & RSI Oscillator Engine transactions"
);
console.log(result.text);

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Common questions about MACD & RSI Oscillator Engine MCP in Mastra AI

The tool returns structured data—MACD, signal, histogram, and RSI values. Your Mastra AI agent can use these numbers in `if/then` conditions to branch the workflow, for example, executing one task for a buy signal and another for a sell signal.
Yes. You can call `calculate_macd_rsi` as many times as you need. Run it on different timeframes or with different parameters as separate, parallel steps in your workflow.
It's simple. Install the Mastra MCP package, instantiate the client with your server URL, and the tools will be available to your agents. Mastra handles the transport and tool definition automatically.
The server itself is stateless, but when used with Mastra AI, yes. Mastra's built-in workflow engine provides automatic retries with backoff, making your analysis pipelines much more resilient to transient network issues.
The only data processed is the price array you provide for the calculation. Your MCP Server runs in a zero-trust sandbox, isolated from everything else. The data exists only for the milliseconds it takes to run the math, then it's gone.

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