How to Use the Curve Fitting Engine MCP in Mastra AI

Q: Does the Curve Fitting Engine support Mastra AI tool approval?

Yes, you can enable human-in-the-loop for the calculateregression tool. This forces the agent to ask you before it runs the math on sensitive datasets.

Build complex math workflows in Mastra AI. Use this MCP server to automate regression tasks and error handling.

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Connect Curve Fitting Engine MCP to Mastra AI

Create your Vinkius account to connect Curve Fitting 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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Setup Curve Fitting Engine with Mastra AI

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Automated regression pipelines

Chain your agent tasks together using the `calculate_regression` tool. Mastra AI handles the logic flow, ensuring your regression math triggers whenever new data points arrive. You can set up conditional branches that act on the R-squared output. If the fit falls below your threshold, the agent automatically retries with different parameters.

Reliable math for agent workflows

The `calculate_regression` tool provides consistent coefficients for your automated reports. It fits into your existing Mastra AI agent definition without custom wrappers. Each step is logged by the framework, so you track exactly when the regression occurs. This gives you a clear audit trail for any math performed by your agents.

Error-resilient math processing

Leverage built-in retries if the connection to the math engine flickers. Mastra AI manages the state, so your regression tasks finish correctly even if a network dip happens. This makes your agents more stable when handling large batches of scatter plot data. You define the workflow once, and the framework handles the persistence.

Setup guide

Set up Curve Fitting 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Curve Fitting Engine tools become native Mastra tools.
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: "curve-fitting-engine-mcp-client",
  servers: {
    "curve-fitting-engine-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Curve Fitting Engine transactions"
);
console.log(result.text);

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Common questions about Curve Fitting Engine MCP in Mastra AI

Add the server URL to your Mastra client configuration. Once defined, you can call `calculate_regression` as a standard agent tool within your workflow steps.

Yes, you can enable human-in-the-loop for the `calculate_regression` tool. This forces the agent to ask you before it runs the math on sensitive datasets.

Absolutely. Pass the output of one step directly into the next. Your agents can refine the regression parameters based on previous results.

Mastra AI uses its internal retry logic to handle transient issues with the server. If the regression fails, the framework attempts the call again automatically.

We keep your scatter plot coordinates in memory only for the duration of the calculation. Your data is never persisted or shared between agent sessions.

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