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Connect Forgetting Curve Calculator 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. Predict memory decay to schedule your next review session.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Forgetting Curve Calculator.

  1. 01

    Predict decay thresholds

    This capability predicts exactly when your memory will drop below critical levels like 70% or 50%. Use it to spot upcoming knowledge gaps before they happen.

  2. 02

    Estimate maintenance effort

    This capability calculates how many future review sessions you'll need to keep your knowledge stable. It helps you plan your long-term study workload.

  3. 03

    Get current retention

    This capability calculates your current memory retention percentage based on your last study date and review history. It gives you a baseline of what you actually know right now.

Real work

What teams actually run

01

Exam Preparation

Calculate how many review sessions you need to hit a target retention before a big test.

02

Language Learning

Predict when you will forget new vocabulary so you can schedule a review.

03

Professional Certification

Maintain high retention for technical concepts over several months of study.

04

Spaced Repetition Automation

Let your AI agent manage your study calendar based on real decay data.

Automate a task

Put Forgetting Curve Calculator to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Forgetting Curve 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 Forgetting Curve 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

665ms average. Fast in production.

Forgetting Curve Calculator is checked daily against the live service.

Daily averagePeak 1125ms
Oct 3Today
Fastest day
567ms
Slowest day
1125ms
14-day trend
Slowing+27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Forgetting Curve Calculator, so you can see the experience inside your AI.

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

Forgetting Curve Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_meEi0UUtt24xaQTj7YETPi44upYANhx5EwPFZdIH/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 — Forgetting Curve Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "forgetting-curve-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_meEi0UUtt24xaQTj7YETPi44upYANhx5EwPFZdIH/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 Forgetting Curve Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Forgetting Curve Calculator owners hand off.

This is for anyone managing large amounts of technical or academic information who needs a data-driven way to study.

  • 01

    Students

    They hand off study dates and review counts to the AI to build study plans.

  • 02

    Lifelong Learners

    They use the MCP to track retention for new languages or professional skills.

  • 03

    Researchers

    They use decay math to ensure they retain complex literature and data over months.

FAQ

Questions Forgetting Curve Calculator owners ask.

  • 01

    What is the Forgetting Curve Calculator?

    It is an MCP that uses Ebbinghaus principles to model how quickly you forget information. It helps you schedule reviews to maximize retention.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    How does it help with studying?

    It tells you exactly when your memory will drop below certain thresholds, so you know when to review before you forget.

  • 04

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 05

    Can I set a target retention percentage?

    Yes, you can ask the agent to estimate how many reviews are needed to reach and maintain a specific target, like 90% retention.

  • 06

    How does the capability calculate my current retention?

    The get_current_retention capability uses your initial study date, the number of completed revisions, and the interval between them to calculate the current percentage of memory strength based on the Ebbinghaus decay model.

  • 07

    Can I predict when I will forget a topic?

    Yes, by using the predict_decay_thresholds capability, you can see exactly how many days or hours remain before your retention drops below 70%, 50%, or 20%.

  • 08

    How do I plan for long-term memory stability?

    You can use the estimate_maintenance_effort capability. By providing your current retention and target goal, it calculates how many future review sessions are required to keep the information stable.

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