How to Use the Newton MCP in Mastra AI

Build deterministic math workflows in Mastra AI with Newton's exact symbolic computation tools.

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Connect Newton MCP to Mastra AI

Create your Vinkius account to connect Newton 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 Newton with Mastra AI

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Embed symbolic math in Mastra AI workflows

Newton brings 15 specific calculation tools like `math_simplify` and `math_derive` into your Mastra AI workflow engine. When a step requires exact mathematical transformations, the agent calls the appropriate function instead of guessing the output. You build conditions based on these precise outputs. If `math_zeroes` returns an empty array, your workflow branches to an error-handling path. The execution remains deterministic because the MCP math engine returns consistent, calculated facts.

Execute calculus operations reliably

The `math_integrate` and `math_area` tools handle indefinite and definite integrals directly within your automated sequences. An agent extracts formulas from incoming documents, passes them to the MCP Server, and injects the mathematical result into the next step of the pipeline. Complex derivatives work exactly the same way through `math_derive`. Mastra's built-in retry logic ensures that if an expression times out during a massive computation, the system automatically backs off and tries again without failing the entire run.

Calculate bases and inverse functions

Calculating logarithms with specific bases requires the `math_log` tool. Your agent supplies the base and the value, retrieving the exact mathematical answer to feed into downstream data models. The server also provides a full suite of trigonometric functions including `math_arccos` and `math_tan`. You get precise geometric calculations wrapped in Mastra's automated state management. This specific MCP connection prevents math errors from cascading.

Setup guide

Set up Newton 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 Newton 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: "newton-mcp-client",
  servers: {
    "newton-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Newton. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Newton MCP in Mastra AI

Initialize the MCPClient with the server URL and call listTools(). Spread the resulting array directly into your agent's tool configuration.

The framework automatically applies exponential backoff if a heavy symbolic computation times out. You define the retry limits in the workflow step.

The tools use a specific syntax for division. You instruct the agent to use the keyword (over) to separate numerators and denominators before calling the endpoint.

Set the requireToolApproval flag on specific MCP tools in your configuration. The workflow pauses until an administrator approves the execution.

The system reads the polynomial strings and numeric inputs strictly for computation. Execution happens in an ephemeral V8 isolate that wipes all equation data the moment the response transmits.

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