How to Use the Founder Vision Prover MCP in Mastra AI

Q: How do I use the Founder Vision Prover in a Mastra AI workflow?

Instantiate the MCPClient and list the server in your agent's configuration. Then, you can call the validatefoundervision tool from your workflow steps, using its output to drive conditional logic for your automated process.

Q: Does this require a lot of setup?

No. You install the @mastra/mcp package and provide the server URL. Mastra AI handles the transport detection and tool listing, so you can focus on your workflow logic.

Automate startup diligence with resilient, multi-step workflows using Mastra AI and the Founder Vision Prover.

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Connect Founder Vision Prover MCP to Mastra AI

Create your Vinkius account to connect Founder Vision Prover to Mastra AI 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 Founder Vision Prover with Mastra AI

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Build Unbreakable Diligence Flows

A startup pitch comes in. Your Mastra AI workflow triggers, calling the `validate_founder_vision` tool. If the tool rejects the pitch for having a CAC payback over 12 months, your workflow doesn't just fail—it logs the reason and notifies an analyst. This is what Mastra AI is for. You can build conditional logic around the Founder Vision Prover's output. If the TAM is too small, branch to a different analysis path. If the server is temporarily down, Mastra's built-in exponential backoff handles retries automatically.

Chain Analysis with Human-in-the-Loop

The `validate_founder_vision` tool is strict. Maybe too strict for an early idea. With Mastra AI, you can insert a human approval step by using `requireToolApproval` before calling the MCP server. The tool runs, flags a weak distribution moat, and then pauses the workflow. It waits for a partner to manually review and approve before proceeding. This combines the ruthless logic of the Prover with the nuanced judgment of your team.

Deploy Analysis Bots in One Command

You've built a workflow: it ingests a pitch from a form, uses the Founder Vision Prover to check its viability, and routes it based on the verdict. Mastra AI lets you define this entire process in TypeScript and deploy it with a single command. Your agent, equipped with the `validate_founder_vision` tool, can run anywhere. It's not just a script. It's a durable, stateful workflow that can handle the async nature of network calls and failures.

Setup guide

Set up Founder Vision Prover MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Founder Vision Prover tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "founder-vision-prover-mcp-client",
  servers: {
    "founder-vision-prover-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Founder Vision Prover Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Founder Vision Prover tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Founder Vision Prover transactions"
);
console.log(result.text);

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

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Common questions about Founder Vision Prover MCP in Mastra AI

Instantiate the `MCPClient` and list the server in your agent's configuration. Then, you can call the `validate_founder_vision` tool from your workflow steps, using its output to drive conditional logic for your automated process.

Yes, that's a core feature. Mastra AI has automatic retries with exponential backoff built-in. If a call to the MCP server fails, it will retry intelligently without you writing any extra code.

Build an automated screening pipeline for an accelerator. Pitches are submitted, Mastra AI runs them through `validate_founder_vision`, and only the ones with solid unit economics and a real distribution moat get passed to a human for review.

No. You install the `@mastra/mcp` package and provide the server URL. Mastra AI handles the transport detection and tool listing, so you can focus on your workflow logic.

Your financial inputs—like cohort retention and unit economics—are processed by the Founder Vision Prover server on Vinkius. Mastra AI orchestrates the call, but the data itself is handled within Vinkius's zero-trust, ephemeral environment and is not stored.

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