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How to Use the Founder Vision Prover MCP in CrewAI

Assemble an autonomous diligence team with CrewAI and the Founder Vision Prover to analyze startup pitches.

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Connect Founder Vision Prover MCP to CrewAI

Create your Vinkius account to connect Founder Vision Prover to CrewAI 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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Assign a 'Skeptical Partner' Agent

With CrewAI, you create an agent with a role. Define a 'Skeptical Partner' agent and give it one job: to run every startup idea through the `validate_founder_vision` tool. This agent's entire purpose is to find fatal flaws in business models. This agent becomes a specialist in your crew. While another agent researches market trends, your Founder Vision Prover agent focuses entirely on the physics of the business: TAM, retention, and unit economics. It shares its findings back to the crew for the next agent to act on.

Create a Diligence Assembly Line

Build a crew for sequential analysis. Agent 1, The Analyst, pulls a pitch from a database. Agent 2, The Skeptic, equipped with this MCP server, runs `validate_founder_vision`. Agent 3, The Writer, takes the verdict and drafts a summary memo. This is the power of CrewAI's task execution. The Founder Vision Prover isn't just a one-off check; it's a critical stage in a fully autonomous workflow. You can ensure no pitch gets to a human without passing this logical stress test first.

Filter Tools for Specialized Agents

The Founder Vision Prover has one powerful tool. When setting up your CrewAI agent, you can pass the MCP server URL directly in the `mcps` list. This ensures this specific agent has access to the `validate_founder_vision` tool and nothing else. This enforces role-based specialization. Your 'Due Diligence' agent can be armed with the Founder Vision Prover, while your 'Communications' agent can't accidentally try to validate a business model. It keeps your autonomous crews focused and secure.

Setup guide

Set up Founder Vision Prover MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Founder Vision Prover tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Founder Vision Prover Analyst",
    goal="Access and analyze Founder Vision Prover data via MCP.",
    backstory="Expert analyst with direct Founder Vision Prover access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Founder Vision Prover transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Founder Vision Prover MCP in CrewAI

The easiest way is to pass the server URL directly into the `mcps` list when you define your Agent. CrewAI will automatically discover the `validate_founder_vision` tool and make it available to that agent for its tasks.
A great setup is a two-agent crew: a 'Researcher' that gathers data on a startup and a 'Strategist' armed with the Founder Vision Prover. The Strategist uses the tool to analyze the Researcher's findings and outputs a final verdict on the investment.
Yes, that's exactly how CrewAI is designed. You assign different MCP server tools to different agents based on their roles. This creates a specialized team where each member has the right tools for their job.
While CrewAI excels at autonomous operations, you can design workflows that require human input. For example, the crew could use the Founder Vision Prover to generate an analysis and then present it to you for a final go/no-go decision.
CrewAI directs the agent to send the analysis data—like your bottom-up TAM and retention stats—to the Founder Vision Prover server. That server operates in a secure Vinkius sandbox. Your data is processed ephemerally and is not stored by Vinkius or CrewAI.

Start using the Founder Vision Prover MCP today

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