How to Use the Newton MCP in OpenAI Agents SDK

Q: How do I use Newton with the OpenAI Agents SDK?

You'll instantiate an MCPServerStreamableHttp object with the server URL and pass it to your Agent's constructor. The OpenAI SDK automatically discovers all of Newton's math tools, so no manual definition is needed.

Q: Can my OpenAI agent solve definite integrals with Newton?

Yes, it can. The matharea tool calculates the definite integral, giving you the area under a curve between two points. Your agent just needs to provide the function and the bounds.

Q: How does expression simplification work in Newton for the OpenAI Agents SDK?

Your agent calls the mathsimplify tool. It can handle fractions using (over), like simplifying 2(over)4 to 1/2. The agent gets back the cleaned-up expression as a string.

Add symbolic math to your OpenAI Agent. Newton provides calculus and algebra tools with production-grade safety for your SDK.

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Connect Newton MCP to OpenAI Agents SDK

Create your Vinkius account to connect Newton to OpenAI Agents SDK 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 OpenAI Agents SDK

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Symbolic Calculus, Not Just Numbers

Your agent can now perform symbolic calculus. Use `math_derive` to get the derivative of a function or `math_integrate` to find its indefinite integral. It returns the actual expression, not just a numerical result. This is perfect for agents that need to reason about rates of change or accumulation. The OpenAI SDK's built-in guardrails mean you can trace every calculation, making sure your agent's mathematical steps are correct before it acts.

Solve and Simplify Expressions

The `math_simplify` tool cleans up complex algebraic expressions, and `math_factor` breaks them down into their constituent parts. Your agent can use `math_zeroes` to find the exact roots of an equation. When you're building a system with the OpenAI Agents SDK, you need predictable outputs. Newton provides them. No more floating-point errors on critical calculations.

Your MCP Server for Advanced Math

This isn't just a set of functions; it's a full symbolic math engine for your agent. It handles trigonometry (`math_sin`, `math_cos`), logarithms (`math_log`), and even finds tangent lines (`math_tangent`). Because Vinkius manages the MCP Server, you just connect your agent. All the computation happens in a secure sandbox, and the results stream right back into your Python code.

Setup guide

Set up Newton MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Newton tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Newton tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Newton tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Newton Agent",
            instructions="You have access to Newton tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Newton MCP in OpenAI Agents SDK

You'll instantiate an `MCPServerStreamableHttp` object with the server URL and pass it to your Agent's constructor. The OpenAI SDK automatically discovers all of Newton's math tools, so no manual definition is needed.

Yes, it can. The `math_area` tool calculates the definite integral, giving you the area under a curve between two points. Your agent just needs to provide the function and the bounds.

Newton performs symbolic math, not numerical. Instead of getting a number, your agent gets an algebraic expression like `2x + 2`. This lets it reason about the structure of a problem, which is a big deal for complex tasks.

Your agent calls the `math_simplify` tool. It can handle fractions using `(over)`, like simplifying `2(over)4` to `1/2`. The agent gets back the cleaned-up expression as a string.

Your math expressions are processed in an ephemeral, isolated sandbox on Vinkius. The server has no memory of past calculations. It's a zero-trust environment, so your function data is gone the moment the request is finished.

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