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How to Use the Editorial Prover MCP in Cursor

Stop letting your AI code editor write bad documentation. Force Cursor to audit its own text.

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Connect Editorial Prover MCP to Cursor

Create your Vinkius account to connect Editorial Prover to Cursor 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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Audit text directly in Cursor

The `audit_copy` tool makes your agent evaluate the rhythm and structure of any text block it generates alongside your code. Developers often let the AI write README files or inline documentation that sound completely robotic. This forces a structural check. When you trigger Agent mode, the MCP server hits the tool to map paragraph variance. It counts the words and maps the cadence. If the output reads like a machine wrote it, the server rejects the draft and makes the editor try again.

Identify the weakest line

The `audit_copy` tool requires the AI to locate the most useless sentence in the file and justify its existence. Technical writing is usually bloated. This mechanism acts like a strict editor sitting over your shoulder. It evaluates the draft, finds the fluff, and decides whether to cut or rewrite it. You get tighter documentation without leaving your IDE. Cut the fluff.

Fix generic hooks using an MCP Server

The `audit_copy` tool demands a specific audience definition before it approves an introductory paragraph. Most AI-generated release notes start with boring summaries. That's a dead end for your readers. The server forces the model to name the reader's exact desire. If the hook fails to address that desire, the tool throws an error. Your agent has to rewrite the opening until it passes the test.

Setup guide

Set up Editorial Prover MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Editorial Prover MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Editorial Prover transactions." If the MCP tools are loaded correctly, Cursor will call the Editorial Prover tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "editorial-prover-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Cursor

Create an mcp.json file in your project root or global settings directory. Add the MCP server command or remote URL, then turn on Agent mode in the chat panel.
No. The tool only triggers when you specifically ask the agent to write or evaluate prose, like documentation or marketing copy. Your regular code completions remain untouched.
Yes. Highlight the text and tell the agent to run it through the audit. The MCP server will break down the structural flaws and force a rewrite.
The server requires strict adherence to rhythm and variance rules. If the initial output is too uniform, it fails the check and forces the AI to try again.
The MCP server only reads the specific prose blocks you send it. Vinkius executes the evaluation inside a zero-trust, ephemeral sandbox. The container is destroyed as soon as the response returns to your editor.

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