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Connect Editorial Prover to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop your AI from writing like a robot.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Editorial Prover.

  1. 01

    Audit copy

    This capability triggers a structured self-audit that forces your agent to reason through five editorial pivots. It validates sentence rhythm, paragraph architecture, and audience specificity to ensure the text doesn't fall into predictable AI patterns.

Real work

What teams actually run

01

README Documentation

Ensure technical guides don't become a wall of repetitive, monotone text.

02

Landing Page Copy

Verify that headlines commit to a position rather than just describing a feature.

03

Blog Post Polishing

Use the audit to find and cut bloated prose and unnecessary transitions.

04

Multi-language Content

Apply universal editorial principles to ensure quality across different languages.

Automate a task

Put Editorial Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Editorial Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Editorial Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

878ms average. Fast in production.

Editorial Prover is checked daily against the live service.

Daily averagePeak 1151ms
Oct 3Today
Fastest day
701ms
Slowest day
1151ms
14-day trend
Improving-5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Editorial Prover, so you can see the experience inside your AI.

It does not authenticate your account with Editorial Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Editorial Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_CcVGSQv7Lh5KyAEjIKqPOAvEmrf2zKqxShL3BZnX/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Editorial Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "editorial-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CcVGSQv7Lh5KyAEjIKqPOAvEmrf2zKqxShL3BZnX/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Editorial Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Editorial Prover owners hand off.

Content creators and technical writers who use AI agents to draft long-form prose or documentation.

  • 01

    Technical Writers

    They hand off complex documentation drafts to the agent for structural and clarity audits.

  • 02

    Marketing Copywriters

    They use the capability to ensure landing page copy has a strong hook and avoids generic AI phrasing.

  • 03

    Content Strategists

    They use the audit to verify that high-volume AI content maintains a consistent, human-like brand voice.

FAQ

Questions Editorial Prover owners ask.

  • 01

    Does this MCP detect AI writing?

    It doesn't just detect AI writing. It forces the agent to perform a structured self-audit to improve the quality of the writing itself.

  • 02

    Can I use this with any language?

    Yes. The editorial pivots are universal, and the burstiness check uses math on sentence lengths, making it language-agnostic.

  • 03

    What is burstiness in this context?

    Burstiness refers to the variation in sentence length and rhythm. Human writing has high burstiness, while AI writing often has low burstiness.

  • 04

    How does it improve my agent's writing?

    It uses decision pivots to force the agent to think about the reader, the hook, the rhythm, the weakest sentence, and the paragraph structure.

  • 05

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    Does Editorial Prover detect AI-generated text?

    No. and that's intentional. Detectors catch problems after the fact. Editorial Prover prevents them at the source by forcing the agent to think like an editor BEFORE writing. The only server-side check is burstiness (sentence length variance), which is a language-agnostic mathematical validation, not a detection algorithm.

  • 07

    Does it work for languages other than English?

    Yes. every language. The 5 Decision Pivots are universal editorial questions (who is the reader? does the opening grab? which sentence is weakest?) that work regardless of language. The burstiness check splits on sentence-ending punctuation (periods, question marks, exclamation marks. including CJK equivalents) and measures word count variance, which is pure math. There are no English-specific blocklists or grammar rules.

  • 08

    Why does the agent send its own verdict instead of the capability computing it?

    Because the commitment IS the thinking. If the server computed the verdict automatically, the agent would fill in fields mechanically without reasoning about the outcome. By forcing the agent to declare 'I believe this is PUBLISH_READY' and then validating that declaration against the pivots, the agent must actively reason about whether its editorial self-assessment is consistent. This is the same pattern used by Sequential Thinking. the LLM decides when it has thought enough, which is what makes it think more.

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