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Connect Tensor Index Contraction Engine 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 multi-dimensional array operations 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.

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 · 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 Index Contraction Engine.

  1. 01

    Apply permutation

    This capability calculates the new shape and index mapping after you permute a tensor's axes.

  2. 02

    Calculate tensor product

    Use this to find the resulting shape and index mapping for a tensor outer product.

  3. 03

    Evaluate einstein notation

    This capability parses Einstein summation strings to determine the resulting tensor structure.

  4. 04

    Perform contraction

    This capability calculates the resulting shape and index mapping after summing over specific indices to reduce tensor rank.

Real work

What teams actually run

01

Tensor Shape Verification

Check if a specific permutation or contraction will result in the expected tensor dimensions.

02

Physics Notation Parsing

Convert complex Einstein summation strings into predictable tensor shapes.

03

Linear Algebra Automation

Let your agent calculate outer products and contractions for large-scale matrix math.

04

Algorithm Debugging

Verify the mathematical correctness of tensor transformations in your code.

One connector, every AI

Tensor Index Contraction Engine 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 Index Contraction Engine 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

1173ms average. Fast in production.

Tensor Index Contraction Engine is checked daily against the live service.

Daily averagePeak 1173ms
Oct 16Today
Fastest day
1173ms
Slowest day
1173ms
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 Index Contraction Engine, so you can see the experience inside your AI.

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

Tensor Index Contraction Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_vDuTlV8hzFXn3UPsU3O9gbNlhM8Wz4dKGYfDXc9L/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 Index Contraction Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tensor-index-contraction-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vDuTlV8hzFXn3UPsU3O9gbNlhM8Wz4dKGYfDXc9L/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 Index Contraction Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tensor Index Contraction Engine owners hand off.

This MCP is built for technical users who need to offload tensor algebra to an AI agent. It serves professionals working with high-dimensional data structures.

  • 01

    Physics Researchers

    They hand off complex Einstein notation calculations to the agent.

  • 02

    Machine Learning Engineers

    They use it to verify tensor shapes and permutations during model design.

  • 03

    Data Scientists

    They delegate multi-dimensional array transformations to the MCP.

FAQ

Questions Tensor Index Contraction Engine owners ask.

  • 01

    What can this MCP do with Einstein notation?

    It uses the evaluate_einstein_notation capability to parse summation strings and determine the resulting tensor structure and shape.

  • 02

    How does it handle tensor contractions?

    The perform_contraction capability calculates the new shape and index mapping after summing over specific indices to reduce the tensor rank.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    Does it calculate the actual tensor values?

    This MCP focuses on the mathematical structure, calculating the resulting shapes and index mappings for operations like permutations and products.

  • 05

    What is an outer product in this context?

    The calculate_tensor_product capability determines the resulting shape and index mapping when performing a tensor outer product.

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