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How to Use the Newton MCP in Pydantic AI

Get type-safe symbolic math for your Pydantic AI agent. Newton delivers validated calculus and algebra results you can trust.

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Pydantic AI

Connect Newton MCP to Pydantic AI

Create your Vinkius account to connect Newton to Pydantic 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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Mathematically Correct Results

This server lets your agent perform symbolic math, like finding derivatives with `math_derive` or integrals with `math_integrate`. The key is that every response is a clean, algebraic expression. With Pydantic AI, if the Newton server ever returned something unexpected, your code would raise a `ValidationError` immediately. No silent failures, no corrupt data—just the correct symbolic output, every time.

Solve and Validate Equations

Your agent can use `math_zeroes` to find the roots of an equation or `math_factor` to break it down. These aren't floating-point approximations; they are the exact symbolic results. Pydantic AI's strength is its rigid structure. It ensures the string your agent gets back from Newton is exactly what it expects. This is crucial for building reliable systems that perform multi-step mathematical reasoning.

Model-Agnostic Math MCP Server

Newton adds a full suite of math tools to your agent, from trigonometry (`math_sin`, `math_arccos`) to logarithms (`math_log`). It's a complete symbolic toolkit. Because you're using Pydantic AI, you can plug this MCP server into an agent powered by any LLM—OpenAI, Anthropic, or a local model. The math capabilities remain consistent, validated, and type-safe regardless of the brain you choose.

Setup guide

Set up Newton MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "newton-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Newton tools.",
)

result = await agent.run("List recent Newton transactions")
print(result.output)

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 Pydantic AI

It's straightforward. After installing `pydantic-ai-slim[mcp]`, you create an `MCPToolset` with the server URL. Then you just add that toolset to the list you pass when initializing your `Agent`.
Pydantic AI will catch it. You'll get a `ValidationError` instantly, preventing your agent from acting on bad data. This is the main benefit: runtime safety for all tool outputs.
Yes, the `math_area` tool does exactly that. Your agent provides the function and the upper/lower bounds, and Newton calculates the definite integral. Pydantic AI ensures the numerical result it gets back is properly typed.
It does. Since Pydantic AI is model-agnostic, you can use Newton's symbolic math tools with any compatible local or remote LLM. The MCP Server connection is independent of the model provider.
Your agent's requests, which contain the mathematical expressions, are handled by ephemeral V8 isolates. The compute environment exists only for the duration of the request. Nothing is logged or stored, ensuring your data remains private.

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