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Connect Systems Thinking Prover to ChatGPT and Claude

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 proposing broken architectural changes.

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 Systems Thinking Prover.

  1. 01

    Validate systems thinking

    This capability forces your AI to pass a 6-pivot validation check including boundary mapping, loop identification, and second-order effect tracing. It rejects any proposal that fails to account for feedback loops, bottlenecks, or mathematical throughput limits.

Real work

What teams actually run

01

Infrastructure Scaling

Verify that adding more compute resources won't just shift the bottleneck to a different service.

02

Supply Chain Modeling

Map how changes in production speed affect inventory and replenishment loops.

03

Organizational Policy

Analyze how new incentives or rules might create unintended behaviors in a team.

04

Traffic and Flow Control

Model how adjusting one node in a network affects the capacity of adjacent nodes.

Automate a task

Put Systems Thinking 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

Systems Thinking 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 Systems Thinking 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

934ms average. Fast in production.

Systems Thinking Prover is checked daily against the live service.

Daily averagePeak 1254ms
Oct 3Today
Fastest day
753ms
Slowest day
1254ms
14-day trend
Stable-1%

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 Systems Thinking Prover, so you can see the experience inside your AI.

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

Systems Thinking Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_gzZHZyog1ErMo4heLHF6Kpx8sxf4G0Yo1pNvsMiJ/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 — Systems Thinking Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "systems-thinking-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_gzZHZyog1ErMo4heLHF6Kpx8sxf4G0Yo1pNvsMiJ/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 Systems Thinking Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Systems Thinking Prover owners hand off.

This MCP is built for professionals managing complex, interconnected environments where small changes have large, unpredictable ripples.

  • 01

    Systems Architects

    They use it to validate infrastructure changes against potential cascading failures.

  • 02

    Operations Managers

    They hand off process improvement ideas to the AI to check for hidden bottlenecks.

  • 03

    Software Engineers

    They use it to ensure code optimizations don't create new performance issues downstream.

FAQ

Questions Systems Thinking Prover owners ask.

  • 01

    How does this MCP prevent AI errors?

    It uses a 6-pivot validation process that forces the AI to account for feedback loops, second-order effects, and bottlenecks before it can finalize a response.

  • 02

    What is a second-order effect?

    It is the consequence of a consequence. The capability requires the AI to trace at least three levels of downstream impact to ensure it isn't just seeing the immediate result.

  • 03

    Can I use this with Claude or Cursor?

    Yes, this MCP is compatible with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    What happens if the AI's logic is too simple?

    The capability will return a verdict like LINEAR_THINKING_DETECTED if the AI fails to identify the necessary feedback loops or system boundaries.

  • 05

    Does this capability require manual setup?

    No, Vinkius hosts and manages the MCP, so you can connect it to your client with one click.

  • 06

    Why force the identification of feedback loops?

    Systems are not linear. If you fix a bottleneck without mapping the reinforcing loop, the system will just break faster somewhere else.

  • 07

    How do you prove math in systems thinking?

    By calculating throughput, capacity, or latency limits (e.g. proving a 5k RPS upstream source will crash a 1k RPS bottleneck database).

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