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Connect Article Architect 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. Write blog posts that prove a point and change how readers code.

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 Article Architect.

  1. 01

    Architect article

    You must: (1) state a THESIS. a debatable position, NOT a description. "X is a framework" is Wikipedia. "X reduced our deploy time by 73% but tripled debugging complexity" is a thesis. (2) expose TRADEOFFS. when does this approach FAIL? What do you sacrifice? Engineers distrust one-sided advocacy. (3) plan CODE that PROVES the thesis. not hello-world, not boilerplate from the docs. Before/after comparisons, benchmarks, failing tests, performance traces. (4) ground it in PRODUCTION. at least one concrete detail: a metric, a failure, a surprise. "We hit X after 72 hours in production" transforms theory into authority. (5) define the TRANSFORMATION. after reading, what can the reader DO? Not "understand X". an action: "run this benchmark", "apply this migration pattern", "use this decision framework". If the capability rejects, your article will read as AI-generated tutorial filler. Fix the architecture. Structured reflection capability for architecting technical blog articles that argue, prove, and transform. not just describe. The agent must commit to a debatable thesis, expose honest tradeoffs, plan code blocks that serve as evidence, ground the argument in production experience, and define a concrete reader transformation. The capability validates logical consistency: if the thesis is a definition, it rejects. If tradeoffs are dismissive, it rejects. If code is boilerplate, it rejects. If experience is generic, it rejects

Real work

What teams actually run

01

Comparing Frameworks

Instead of listing features, use this MCP to argue why Framework A is better than Framework B, while honestly detailing the complexity overhead of A.

02

Migration Guides

Structure a guide that doesn't just show the new syntax, but proves the performance gains using before-and-after benchmarks.

03

Adopting New Standards

Write an article that takes a strong position on a new industry standard, detailing the specific pain points it solves and the costs it introduces.

04

Debugging Complex Systems

Create a post that analyzes a failure mode, using production metrics to prove the root cause and providing a concrete fix.

Automate a task

Put Article Architect 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

Article Architect 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 Article Architect 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

896ms average. Fast in production.

Article Architect is checked daily against the live service.

Daily averagePeak 1054ms
Oct 3Today
Fastest day
668ms
Slowest day
1054ms
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 Article Architect, so you can see the experience inside your AI.

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

Article Architect Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_UfFUhDaNgrtYkb5mus1d2vK7vsddtAtkFSDx7qvk/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 — Article Architect capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "article-architect-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UfFUhDaNgrtYkb5mus1d2vK7vsddtAtkFSDx7qvk/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 Article Architect in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Article Architect owners hand off.

This MCP is for technical writers, engineering content leads, and subject matter experts who need to publish high-authority articles. If your goal is to establish thought leadership and convince peers of a technical point, this capability is essential. It elevates your content from simple documentation to genuine technical advocacy.

  • 01

    Technical Writer

    Use it to structure deep-dive articles that move beyond basic tutorials and establish a clear, debatable narrative.

  • 02

    Engineering Lead

    Generate content that reflects real-world deployment pain points and technical compromises, building trust with peers.

  • 03

    Content Strategist

    Ensure every piece of technical content has a measurable, actionable outcome for the end user.

FAQ

Questions Article Architect owners ask.

  • 01

    Is this just a fancy writing prompt?

    No. It's a structural validator. It doesn't just suggest improvements; it actively rejects the content if the thesis is too vague, the code is boilerplate, or the experience is generic. It forces a complete architectural overhaul of the argument.

  • 02

    What kind of content is best for this MCP?

    Content that requires a strong opinion or comparison works best. Think about 'Why should we switch from X to Y?' or 'What is the hidden cost of adopting Z?' These topics are inherently argumentative.

  • 03

    Do I need to provide production data myself?

    The MCP requires you to ground the argument in concrete details. You must provide metrics, failure scenarios, or specific production observations for the capability to validate the content.

  • 04

    Does this work for non-technical topics?

    The capability is designed for technical writing. It relies on concepts like code evidence, metrics, and architectural tradeoffs, so stick to engineering or development topics.

  • 05

    What is the difference between this and a standard AI article generator?

    Standard generators write tutorials. This MCP writes arguments. It demands that the article takes a side, exposes the limitations, and provides a clear path forward for the engineer reading it.

  • 06

    Does Article Architect write the article?

    No. Article Architect generates zero content. It forces the AI agent to architect the article's argumentative structure. thesis, tradeoffs, code strategy, production evidence, reader transformation. before writing a single paragraph. The architecture then guides the writing. The capability validates structural depth, not prose quality.

  • 07

    What is the difference between a thesis and a description?

    A description tells you what something IS: 'Docker is a containerization platform.' A thesis takes a POSITION: 'Docker Compose replaced our Kubernetes cluster for 8 of 12 services. saving $4,200/month in infrastructure but requiring manual rollback procedures we hadn't planned for.' If a smart engineer could disagree with it, you have a thesis.

  • 08

    Why does it reject boilerplate code?

    Code in a technical article is EVIDENCE, not illustration. If the reader can find the same code in the official documentation, the code adds nothing. Every code block must support the thesis: a before/after comparison showing the improvement, a benchmark proving the claim, a failing test that passes after the fix, a production trace revealing the bottleneck. Boilerplate teaches syntax. Evidence proves arguments.

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