What does this MCP do?

It finds integer linear dependencies within sets of numbers using lattice-based methods.

How do I know if a relation is real?

You can use the validate_relation_strength capability to see if a relation is a true identity or a coincidence.

Which AI clients can use this?

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

Can I control the search depth?

Yes, you can specify a search bound and a residual tolerance when looking for relations.

What kind of data is this for?

It is designed for high-precision numerical data used in mathematical research.

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Connect Integer Linear Relation Finder 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. Identify hidden mathematical dependencies in numerical datasets.

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

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.

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 Integer Relation Finder.

01
Calculate relation properties
This capability derives specific mathematical characteristics, such as the Euclidean norm, from a discovered integer relation.
02
Find integer relation
This capability searches for a linear dependency with integer coefficients within a set of numbers based on your specified bounds and tolerance.
03
Summarize search space
This capability provides a summary of the complexity and coverage of your chosen search parameters.
04
Validate relation strength
This capability assesses whether a found relation is a significant mathematical fact or merely a numerical coincidence.

Real work

What teams actually run

Pattern Discovery

You provide a list of constants to see if they share an integer linear dependency.

Identity Verification

You use the validation capability to confirm if a suspected mathematical relation is significant.

Search Parameter Planning

You check the search space complexity before running intensive computations.

Data Characterization

You derive the Euclidean norm of a relation to understand its properties.

One connector, every AI

Integer Relation Finder 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.

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

You don't need a client to put Integer Relation Finder 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.

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 Integer Relation Finder, so you can see the experience inside your AI.

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

Integer Relation Finder Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_JOJC2PbyvV9CJMPQa3GGNsAMGbs1fJJPsw2invKD/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Integer Relation Finder capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "integer-linear-relation-finder-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JOJC2PbyvV9CJMPQa3GGNsAMGbs1fJJPsw2invKD/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 Integer Relation Finder in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Integer Relation Finder owners hand off.

This MCP is built for professionals handling high-precision numerical analysis and number theory.

01
Researchers
They hand off large sets of numerical data to the AI to find underlying patterns.
02
Mathematicians
They use the capability to validate identities and explore integer relations.
03
Numerical Analysts
They rely on the capability to assess the strength of mathematical relations in datasets.

FAQ

Questions Integer Relation Finder owners ask.

01
What does this MCP do?
It finds integer linear dependencies within sets of numbers using lattice-based methods.
02
How do I know if a relation is real?
You can use the validate_relation_strength capability to see if a relation is a true identity or a coincidence.
03
Which AI clients can use this?
You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.
04
Can I control the search depth?
Yes, you can specify a search bound and a residual tolerance when looking for relations.
05
What kind of data is this for?
It is designed for high-precision numerical data used in mathematical research.

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Connect Integer Linear Relation Finder to ChatGPT and Claude

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