How to Use the Deterministic Math Expression Evaluator MCP in OpenAI Agents SDK

Give your OpenAI Agents SDK production agents exact math answers using a secure AST parser instead of hallucinated arithmetic.

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Connect Deterministic Math Expression Evaluator MCP to OpenAI Agents SDK

Create your Vinkius account to connect Deterministic Math Expression Evaluator 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 Deterministic Math Expression Evaluator with OpenAI Agents SDK

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Stop LLM math hallucinations in your MCP Server

Large language models suck at arithmetic. They guess numbers based on token probability instead of actually calculating them. You fix this by forcing your agent to use the `evaluate_math` tool for every algebraic operation. The tool parses string expressions into an Abstract Syntax Tree. It skips the vulnerable eval() function entirely. Your production traces in the OpenAI dashboard will show deterministic answers every single time.

Secure execution for OpenAI Agents SDK

Remote code execution is a constant threat when agents write their own math scripts. You need a hard boundary between the agent's logic and your host environment. This server gives you that boundary by restricting inputs to strict mathematical syntax. Connect it using MCPServerStreamableHttp in your setup. Pass it to your Agent constructor and set cacheToolsList=True. The SDK auto-discovers the evaluator and locks down the execution path via this MCP server.

Complex algebra handled natively

Financial models and engineering formulas require nested parentheses and order-of-operations guarantees. The parser handles complex string inputs without breaking a sweat. It evaluates the raw text directly. Handoffs between specialized agents run smoother when the math is reliable. One agent drafts the formula, another runs it through the tool, and the final output hits your user with zero calculation errors.

Setup guide

Set up Deterministic Math Expression Evaluator 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 Deterministic Math Expression Evaluator tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Deterministic Math Expression Evaluator 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="Deterministic Math Expression Evaluator Agent",
            instructions="You have access to Deterministic Math Expression Evaluator 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 Deterministic Math Expression Evaluator MCP in OpenAI Agents SDK

Install the package with pip install openai-agents. Initialize MCPServerStreamableHttp with your MCP server endpoint URL and pass it to your Agent constructor.

Using standard evaluation opens your system to code injection attacks. This tool uses strict AST parsing. It guarantees the agent can only execute math, not arbitrary system commands.

No. It strictly evaluates raw numerical string expressions. Your agent must substitute variables with actual numbers before making the tool call.

Yes. Set cacheToolsList=True when configuring your MCP server parameters. This cuts down initialization latency for production environments.

The server only processes mathematical string expressions. It operates in a V8 Isolate Sandbox that destroys itself after the calculation finishes. Nothing gets logged or stored.

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