An astronaut overseeing a futuristic data hub

Connect Learning Goal Tracker to ChatGPT, Claude and Gemini

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. Turn big learning ambitions into weekly study targets.

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 · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Learning Goal Tracker.

  1. 01

    Calculate weekly targets

    Use this to find the exact number of study hours required each week to hit your deadline.

  2. 02

    Create learning goal

    This capability initializes a new learning objective by setting a timeframe and estimated effort.

  3. 03

    Generate milestones

    This capability breaks a single learning goal down into a structured set of milestones.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Learning Goal Tracker.

  1. 04

    Get goal status

    This capability provides a high-level overview of how your goal is doing and whether you are on track.

  2. 05

    Log progress

    Use this to record the specific amount of time you spent studying toward a goal.

Real work

What teams actually run

01

Learning a Programming Language

Set a goal to learn a language like Python and have the AI calculate the weekly hours needed to reach proficiency.

02

Exam Preparation

Break a large certification syllabus into milestones and log study hours to ensure you finish before the test date.

03

Skill Upskilling

Use the milestone capability to transition from a beginner to an intermediate level in a new professional skill.

04

Daily Study Discipline

Log every study session to see exactly how much of your total goal is completed.

One connector, every AI

Learning Goal Tracker 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 Learning Goal Tracker 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

956ms average. Fast in production.

Learning Goal Tracker is checked daily against the live service.

Daily averagePeak 1356ms
Oct 6Today
Fastest day
900ms
Slowest day
1356ms
14-day trend
Slowing+49%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 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 Learning Goal Tracker, so you can see the experience inside your AI.

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

Learning Goal Tracker Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_fI7K3lW2TtjcL95MjUPu66UV0JFHJjyMxi67QFck/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 — Learning Goal Tracker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "learning-goal-tracker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fI7K3lW2TtjcL95MjUPu66UV0JFHJjyMxi67QFck/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 Learning Goal Tracker in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Learning Goal Tracker owners hand off.

This is for anyone trying to master a new skill through structured self-study.

  • 01

    Self-taught developers

    They use the MCP to map out technical skill acquisition over specific months.

  • 02

    Students

    They hand off study session logs to the AI to monitor exam preparation progress.

  • 03

    Lifelong learners

    They use the capability to turn hobbyist interests into disciplined weekly study plans.

FAQ

Questions Learning Goal Tracker owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 02

    How does the MCP help me stay on schedule?

    It calculates the specific number of hours you need to study each week to meet your deadline and provides status updates on your goal trajectory.

  • 03

    Can I break down large subjects?

    Yes, the generate_milestones capability is designed to decompose a single learning objective into a structured set of milestones.

  • 04

    Do I need to manually calculate my study time?

    No, you can simply tell your AI client how much time you spent studying, and it will use the log_progress capability to update your records.

  • 05

    Is there a way to see if I am falling behind?

    Yes, the get_goal_status capability provides an overview of your goal's health and trajectory.

  • 06

    How do I start a new learning plan?

    You can start by using the create_learning_goal capability to define your goal name, total estimated hours, and your target completion date.

  • 07

    How can I see if I am falling behind my schedule?

    Use the get_goal_status capability. It compares your elapsed time against your completed hours to tell you if you are behind schedule.

  • 08

    Can I break my goal into smaller steps?

    Yes, the generate_milestones capability will divide your total effort into a specific number of milestones with target dates and hours.

Connect Learning Goal Tracker to Claude, Cursor, ChatGPT & more