How to Use the First Principles Prover MCP in Mastra AI

Build reliable agent workflows in Mastra AI that use the First Principles Prover MCP Server to verify every logical step.

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Connect First Principles Prover MCP to Mastra AI

Create your Vinkius account to connect First Principles 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 First Principles Prover with Mastra AI

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Automated Logic Verification in Mastra AI

The `validate_first_principles` tool integrates into your Mastra agent steps to ensure reasoning isn't just pattern matching. It forces an axiomatic check at every branch. If the agent hits a logical wall, the tool triggers a failure. You can then use Mastra's built-in retry logic to force the agent to refine its approach based on fundamental proofs.

Multi-step Axiomatic Workflows

Chain this MCP Server into complex agent tasks to keep them grounded. By requiring a proof at each stage, you prevent the agent from drifting into common industry errors. This produces consistent results in long-running processes. The tool acts as a guardrail, ensuring that every decision is derived from physics or logic rather than vague heuristics.

Human-in-the-loop Validation

Enable tool approval within your Mastra workflow to monitor the output of the `validate_first_principles` tool. This gives you control over the agent's reasoning process. You see the exact pivots the agent attempted. If the reasoning isn't grounded, you can reject the tool execution and force the agent to restart from a clean slate.

Setup guide

Set up First Principles 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 First Principles 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: "first-principles-prover-mcp-client",
  servers: {
    "first-principles-prover-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about First Principles Prover MCP in Mastra AI

Add the server URL to your Mastra client configuration. The `validate_first_principles` tool will be automatically detected and available for your agents to call.

Yes. You can include it as a required step in any workflow. It forces the agent to prove its reasoning before proceeding to the next task.

Yes. If the axiomatic validation fails, you can configure your workflow to retry the step. This forces the agent to find a better, more logical path.

The tool is hard-coded to reject input that relies on analogy. If the agent fails to provide an axiomatic basis, it will return an error.

Your reasoning steps are handled in a sandbox. The server does not retain or log your data after the validation request completes.

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