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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
Use it with your favorite AI tools
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Start using the Newton MCP today
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