How to Use the YC Startup Prover MCP in Google ADK

Run ruthless YC-style business audits inside your Google ADK pipelines with a secure MCP Server connection.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect YC Startup Prover MCP to Google ADK

Create your Vinkius account to connect YC Startup Prover to Google ADK — 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 Google ADK

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Perplexity Vinkius runs on Gemini

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Audit raw BigQuery startup data using this MCP Server

Your enterprise agents can pull raw product metrics straight from your warehouse. Instead of letting them make assumptions about growth, this toolset forces them to run a brutal reality check on actual cohort retention. By calling `validate_yc_startup`, your agent parses transaction histories and active user tables against Paul Graham's core survival rules. It instantly flags if a portfolio company is burning cash on premature scaling.

Feed massive pitch decks into Gemini's long context window

Enterprise agents often struggle to find the signal in a two-hundred-page market analysis. Google's framework lets you load the entire document into context while this server extracts the only metric that matters: weekly user retention. The agent filters out the fluff and focuses on whether the business does one thing ten times better than the market. It stops feature bloat before it infects your product roadmap.

Filter exposed tools for targeted cloud agent tasks

You do not always want your agents to have unrestricted access to your entire suite. Google's ADK allows you to restrict the tools exposed to your agent, keeping its reasoning focused purely on business model validation. This keeps execution times low and prevents your agent from getting distracted. It runs cleanly as an MCP toolset alongside your existing Vertex AI pipelines.

Setup guide

Set up YC Startup Prover MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with YC Startup Prover tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="YC Startup Prover_agent",
    model="gemini-2.0-flash",
    instruction="You have access to YC Startup Prover tools via MCP.",
    tools=mcp_tools,
)

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

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Common questions about YC Startup Prover MCP in Google ADK

Use the toolset class with streamable HTTP parameters pointing to your endpoint. Pass this toolset directly into your agent constructor to give it instant access to the validation engine.

Yes. Your agent can pull raw user tables from BigQuery and pass those metrics directly to the prover to verify if a project has real user traction or just vanity signups.

Yes, the toolset supports both Stdio and HTTP transports. You can run the server locally or host it on Google Cloud and connect via secure endpoints.

Yes, use the tool names filter parameter when initializing your toolset. This restricts the agent's view to only the specific evaluation tools you want it to use.

All data transit is encrypted, and executions happen in an isolated sandbox. Your raw metrics and pitch files are never stored, ensuring complete privacy for your sensitive portfolio statistics.

Use it with your favorite AI tools

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