How to Use the First Principles Prover MCP in OpenAI Agents SDK

Q: How do I install First Principles Prover with OpenAI Agents SDK?

Run pip install openai-agents in your terminal. Instantiate the server using MCPServerStreamableHttp with your Vinkius endpoint, then pass it to your Agent constructor in the mcpservers list. Set cacheToolsList=True to keep execution latency low.

Q: What happens if an agent fails the 6-pivot validation?

The validatefirstprinciples tool returns a failure state indicating which pivot failed, such as unproven physical assumptions or remaining jargon. Your agent can then use this structured feedback to rewrite its proof from scratch.

Force your OpenAI Agents SDK deployments to drop lazy analogies and build reasoning from physical and logical axioms.

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Connect First Principles Prover MCP to OpenAI Agents SDK

Create your Vinkius account to connect First Principles Prover 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 First Principles Prover with OpenAI Agents SDK

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Stop analogical copying in production agents

The `validate_first_principles` tool acts as a cognitive filter that intercepts agent reasoning before it can output generic industry templates. It systematically strips out corporate jargon and lazy analogies, forcing your system to rebuild its logic from fundamental mathematical truths. You get clean, custom-derived code and architectures instead of recycled StackOverflow answers. By running this during agent handoffs, you make sure that the input to your next agent is mathematically sound and free of unproven assumptions.

Axiomatic validation inside OpenAI Agents SDK guardrails

The `validate_first_principles` tool integrates with the SDK's native guardrails to validate complex engineering logic before execution. When an agent proposes a solution, this MCP Server runs it through a 6-pivot trap to expose hidden assumptions. The agent must prove its conclusion using physics or logic axioms, or the runtime halts the execution. Flawed logic never makes it to your downstream agents, keeping your production pipelines predictable and mathematically verified.

Trace axiomatic proofs via the OpenAI dashboard

The `validate_first_principles` tool outputs structured proof steps that map directly to your OpenAI tracing dashboard. You can watch the agent discard marketing buzzwords and rebuild its logic chain in real-time. This visibility helps you debug complex reasoning loops. If an agent gets stuck in an assumption cycle, the trace tells you exactly which of the six pivots failed and why.

Setup guide

Set up First Principles Prover 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 First Principles Prover tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate First Principles Prover 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="First Principles Prover Agent",
            instructions="You have access to First Principles Prover 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 First Principles Prover MCP in OpenAI Agents SDK

Run `pip install openai-agents` in your terminal. Instantiate the server using `MCPServerStreamableHttp` with your Vinkius endpoint, then pass it to your Agent constructor in the `mcp_servers` list. Set `cacheToolsList=True` to keep execution latency low.

Yes. You can configure specialized agents to pass their logical outputs to a validation agent equipped with the `validate_first_principles` tool. This setup ensures that no unchecked assumptions pass from one step of your pipeline to the next.

No, Vinkius hosts the MCP Server in a secure V8 sandbox, meaning you connect to it via a hosted streamable HTTP endpoint. Your local SDK setup only needs the endpoint URL and your single authorization token to start validating reasoning.

The `validate_first_principles` tool returns a failure state indicating which pivot failed, such as unproven physical assumptions or remaining jargon. Your agent can then use this structured feedback to rewrite its proof from scratch.

Your logic propositions and raw text inputs are processed in ephemeral V8 isolates that destroy all session data immediately after execution. No text, axioms, or intermediate reasoning states are ever written to persistent storage or used to train models.

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