How to Use the YC Startup Prover MCP in OpenAI Agents SDK

Run strict YC-style pitch audits directly inside your OpenAI Agents SDK pipeline with a single MCP Server connection.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect YC Startup Prover MCP to OpenAI Agents SDK

Create your Vinkius account to connect YC Startup Prover to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup YC Startup Prover with OpenAI Agents SDK

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Stop your agents from hallucinating startup traction

Your agent loves agreeing with bad ideas. It will look at a bloated slide deck and call it revolutionary. This MCP Server stops that behavior instantly by running pitches through a cold, hard filter. When you call `validate_yc_startup`, the server forces your agent to audit five core survival axes before it writes a single line of feedback. It stops solution-seeking in its tracks and demands names of actual paying users.

Enforce Paul Graham's rules with built-in SDK guardrails

OpenAI's framework excels at coordinating specialized agents. You can set up one agent to grill the founder on metrics and another to analyze user feedback. This integration ensures neither agent gets distracted by vanity metrics like social media followers or signups. The server returns raw, structured reality checks directly to your agent's context. Because the SDK handles MCP tool discovery out of the box, your pipeline gets immediate access to strict YC-style scrutiny without manual routing.

Trace pitch evaluations on your OpenAI dashboard

Deployed agents need to be reliable. When your system processes a business plan, you can watch the entire evaluation path live. You see exactly where the pitch failed—whether it was premature scaling or a lack of weekly user conversations. This connection runs inside an ephemeral sandbox. It keeps your evaluation pipeline fast while giving you full visibility into how your agents are grading early-stage ideas.

Setup guide

Set up YC Startup 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 YC Startup Prover tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives YC Startup 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 YC Startup 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="YC Startup Prover Agent",
            instructions="You have access to YC Startup Prover tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YC Startup Prover. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Single dashboard

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Common questions about YC Startup Prover MCP in OpenAI Agents SDK

Install the SDK and register the server using the streamable HTTP parameters class. Pass the server instance directly into your agent's server list. The agent automatically discovers the validation tools at runtime.

Yes. You can route the output of a pitch-reading agent directly to a specialized analyst agent. The analyst uses this server to run its diagnostic checks before passing the verdict back to your main loop.

It rejects hand-waving. If a startup pitch fails to prove actual user interviews or weekly retention metrics, the server returns a failing verdict. This forces your agent to stop generating generic encouragement.

Yes, set the cache parameter to true in your server configuration. This prevents your system from making redundant network requests to fetch the tool schema during high-volume runs.

Your business plans and retention metrics are processed in an isolated, ephemeral V8 sandbox. No data is stored or used for training, and everything is wiped the moment the execution finishes.

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