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Connect Tensor Product Dimension Calculator to your AI

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. Handle complex vector space calculations through your AI client.

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.

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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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Tensor Product Calculator.

  1. 01

    Calculate product dimensions

    This capability finds the total dimension of a tensor product and the dimensions of its individual factors.

  2. 02

    Compute basis counts

    Use this to find the exact number of basis elements within specific graded components.

  3. 03

    Generate basis labels

    This capability produces a subset of basis labels for the tensor product based on your constraints.

  4. 04

    Validate tensor structure

    This capability checks if a given tensor product expansion stays consistent with the known dimensions of its factors.

Real work

What teams actually run

01

Graded Algebra Analysis

Use the capability to find the number of basis elements in specific graded components of a tensor product.

02

Dimension Verification

Confirm the total dimension of a tensor product of multiple vector spaces.

03

Basis Labeling

Generate specific subsets of basis labels for complex tensor products.

04

Expansion Validation

Check if a provided tensor expansion matches the dimensions of its constituent factors.

One connector, every AI

Tensor Product Calculator 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 Tensor Product Calculator 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

1195ms average. Fast in production.

Tensor Product Calculator is checked daily against the live service.

Daily averagePeak 1195ms
Oct 16Today
Fastest day
1195ms
Slowest day
1195ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive 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 Tensor Product Calculator, so you can see the experience inside your AI.

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

Tensor Product Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_xsgUIy3NsiOkFuSZSTLtsEdKokX1yOhrQimQXm7w/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 — Tensor Product Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tensor-product-dimension-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xsgUIy3NsiOkFuSZSTLtsEdKokX1yOhrQimQXm7w/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 Tensor Product Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tensor Product Calculator owners hand off.

This MCP is designed for researchers and students working with advanced linear algebra and graded algebras.

  • 01

    Mathematics Researchers

    They hand off complex tensor product dimension checks to their AI agent.

  • 02

    Graduate Students

    They use the capability to verify basis counts and labels during algebraic study.

  • 03

    Computational Scientists

    They use the MCP to validate the structural consistency of tensor expansions.

FAQ

Questions Tensor Product Calculator owners ask.

  • 01

    What can this MCP calculate?

    It calculates total tensor product dimensions, basis counts for graded components, and generates basis labels.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    Can I use this for graded algebras?

    Yes, the capability includes functionality to compute basis counts for specific graded components.

  • 04

    How do I verify a tensor expansion?

    You can use the validate_tensor_structure capability to check an expansion against its factor dimensions.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

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