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How to Use the Editorial Prover MCP in Mastra AI

Build resilient content workflows in Mastra AI that automatically reject bad AI-generated copy.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Editorial Prover MCP to Mastra AI

Create your Vinkius account to connect Editorial 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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Use Audits as a Workflow Quality Gate

The `audit_copy` tool isn't just a check; it's a decision point. Place it in your Mastra AI workflow to act as a quality gate. All AI-generated text must pass its five-point inspection before moving to the next step. If the copy audit fails, Mastra's engine can automatically trigger a retry. Your workflow can prompt the agent again with the tool's failure reason or branch to a different path, like notifying a human editor that the AI is stuck.

Enforce Predictable Quality in Mastra AI

When you're building automated systems, you can't afford unpredictable output. Generic, low-effort AI copy is a liability that can damage your brand or deliver the wrong message. This MCP Server provides a deterministic check. The `audit_copy` tool's strict, five-part structure means your Mastra AI workflow knows for a fact that the copy passed a real editorial review before it gets published or sent.

One Tool to Stop Bad Writing

You don't need a complex chain of prompts to fix AI writing. You just need one checkpoint. The `audit_copy` tool forces the agent to justify its work on five critical fronts: reader, hook, rhythm, weakest sentence, and structure. In a Mastra AI agent, you can define this as a required step. The agent can't proceed until `audit_copy` returns a success. This simple, powerful checkpoint prevents streams of generic AI text from flooding your automated systems.

Setup guide

Set up Editorial 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Editorial Prover tools become native Mastra tools.

  4. 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: "editorial-prover-mcp-client",
  servers: {
    "editorial-prover-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Editorial 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 Editorial Prover MCP in Mastra AI

You add the server's URL to your MCPClient configuration in Mastra AI. Then, you can use `listTools()` to make `audit_copy` available to any agent in your workflow. It works just like any other tool.
Yes, that's a core strength of Mastra AI. You can configure your workflow to catch the failure from the `audit_copy` tool and automatically re-run the text generation task, including the tool's feedback in the new prompt.
The tool provides specific, structured feedback. If it rejects the text, the error message will point to one of the five pivots, such as 'Paragraph structure lacks variety' or 'Weakest sentence is not correctly identified'.
No. Use it for any content where tone and quality matter. Marketing emails, product descriptions, social media updates—if it's written by an AI and you don't want it to sound like it, this tool is your quality check.
Your source text is processed inside a V8 Isolate on Vinkius, completely isolated from other tenants and processes. The data is gone the moment the request finishes. Your MCP endpoint token is the only key, and nothing is logged.

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