Cursor

How to give Cursor access to ml-regression

Set up in seconds, once. From then on, Cursor gets things done for you: edit one config file, and ml-regression is live in Cursor.

Ask AI about this guide

ml-regression Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GO1fBS3iBxNkA8lFrOVHJ7vN6YkFb6wEYYZNguMd/mcp

Connecting ml-regression to Cursor

About a minute, in Cursor

  1. 1Open Customize in the Cursor sidebar (or create .cursor/mcp.json in your project).
  2. 2Add an MCP server named ml-regression with the url field set to your link. The link above is the URL.
  3. 3Save, enable the server, and ask something real. ml-regression is now part of Cursor.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "curve-fitting-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GO1fBS3iBxNkA8lFrOVHJ7vN6YkFb6wEYYZNguMd/mcp"
    }
  }
}

Cursor + ml-regression

One chat. Your ml-regression, live inside Cursor.

Real prompts, answered with live data. This is the kind of session you will have in Cursor once the server is in.

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

These prompts ship with the ml-regression Connector. Once yours is connected, they work in your sessions.

The full capability set, the prompts and the observed latency live on the ml-regression Connector page.

Mission Control

See everything your Cursor agents do in ml-regression.

When Cursor runs a tool in ml-regression, it happens in your editor: you see the result, but not the request itself, what data it carried, or whether a rule was broken.

Now every move lands on your screen.

Every execution is recorded, enforced, and shown to you: what ran, what it returned, what was blocked, and why.

AI Briefing
Upgrade to unlock

Know exactly what needs your attention before you even look at the charts. One briefing. The full picture. The next move.

Requests
0
Total in this period
Avg Latency
0
API 88ms · Overhead 54ms
Vinkius Reliability
0
Agent 280 · Upstream 47 · Vinkius 15
Tokens
0
AI tokens processed
DLP Protected
0
Sensitive data redacted
Cost Saved
0
FinOps truncations applied

AI Agents Activities

last 30 days
30d agotoday

Request Volume & Latency

requests latency

Every request your Cursor agents make through ml-regression is logged, enforced and auditable. See how AI Governance turns agent activity into accountability, and what it means for your ml-regression workflows.

What sets us apart

It's not just the Connector that stays safe. Everything your agents do through it is.

Connecting ml-regression to your AI is step one. But an open line between your agents and ml-regression is only half the story: without protection, every action they take runs unguarded.

That's why protection doesn't stop at the door.

Every action your agents take through the Connector runs inside our infrastructure: signed activity logs, automatic key rotation, spending limits that pause instead of surprise, and a sandbox that isolates every execution.

01

Tamper Proof Activity Log

Every request your agents make in ml-regression is recorded and signed, so any change to the history becomes detectable.

02

Automatic Key Rotation

We rotate security keys every 24 hours. Your ml-regression connection stays protected without any manual work.

03

Spending Protection

We enforce the spending limit you choose and pause actions that exceed it until approval is received. Your ml-regression actions never surprise you.

04

Isolated Sandbox

Every execution through ml-regression runs isolated, with 34+ security rules covering memory, CPU, network access, file handling and execution.

05

Security Event Streaming

Security events flow to Splunk, Datadog or your own webhook, so ml-regression activity lands in the tools you already rely on.

06

Instant Resume

Idle connections resume in 3 to 5 ms while preserving their state, keeping your Cursor sessions responsive.

07

Malicious File Protection

We detect compressed files designed to exhaust system resources and block them before they ever reach ml-regression.

08

Credential Validation

We test your ml-regression credentials before saving them. Invalid credentials are rejected instead of being stored.

09

Separate Usage Limits

Usage stays isolated per account, so activity in one connection never consumes another account's allowance.

One Connector, one link, and the whole operation is protected. Not just the connection: everything your agents do through it.

These guarantees are not add-ons: they are the infrastructure every ml-regression connection runs on. Read how our infrastructure protects everything your Cursor agents do, end to end.

Inside Vinkius

Get ml-regression ready for your AI. It's easy.

You choose ml-regression from the Vinkius Catalog and get one connection link. That's it.

  1. You choose ml-regression

    You find ml-regression in the Catalog and install the Connector with one click.

    ml-regression

    Active

    Enable Connector
    Activating…

  2. You add the link in Cursor

    Vinkius gives you one connection link. In Cursor, you add an MCP server named ml-regression with the link in the url field, and the connection is ready.

    Token generated successfully

    MCP Connection URL

    https://edge.vinkius.com/vk_preview_GO1fBS3iBxNkA8lFrOVHJ7vN6YkFb6wEYYZNguMd/mcp

    Connection Token

    vk_live_••••••••
    Go to Dashboard

Set it up once. Use ml-regression with the AI you already use.

FAQ

Cursor access questions.

  • 01

    Where does this work?

    In Cursor itself: the Customize page manages servers, and the config lives in .cursor/mcp.json (project) or ~/.cursor/mcp.json (global), with the url field for remote servers.

  • 02

    If I connect ml-regression to Gemini, can I use the same connection in Claude or ChatGPT later?

    Yes, and that's the point: the connection is yours, not Gemini's. You paste the same link in any AI you use, and there's nothing new to set up or pay again. Connect a new AI and ml-regression is already there.

  • 03

    Do I need to hand my ml-regression password to Gemini?

    Never. You sign in once at Vinkius, and we keep your logins encrypted and away from your AI. Gemini only ever sees the link, and you can remove it whenever you want.

  • 04

    What can I actually ask Gemini to do with ml-regression?

    Whatever the Connector covers: check data, run actions and bring answers back. The Connector page lists every capability your AI gains, with real examples you can copy.

  • 05

    Gemini doesn't show the Connector. What do I check?

    Make sure the server is enabled on the Customize page and the url was pasted exactly as copied, then confirm the Connector is active in your Vinkius account. A deactivated Connector stops responding.

  • 06

    Can I remove the access later?

    Remove the server from your mcp.json (or toggle it off on the Customize page) and it's out of Cursor. Your Vinkius account keeps the connection and its history either way, ready for the next AI.

  • More questions about ml-regression? The Connector page answers them. See everything the ml-regression Connector can do

About the Connector

What ml-regression adds to your AI.

Once you connect it, your AI can take real actions in ml-regression when you ask. The Connector page lists every capability in detail, alongside the latency we measure in production and prompts worth trying first.

See everything the ml-regression Connector can do