Vinkius
Forgetting Curve Calculator

Forgetting Curve Calculator MCP for AI. Stop forgetting what you just learned.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Forgetting Curve Calculator MCP on Cursor AI Code EditorForgetting Curve Calculator MCP on Claude Desktop AppForgetting Curve Calculator MCP on OpenAI Agents SDKForgetting Curve Calculator MCP on Visual Studio CodeForgetting Curve Calculator MCP on GitHub Copilot AI AgentForgetting Curve Calculator MCP on Google Gemini AIForgetting Curve Calculator MCP on Lovable AI DevelopmentForgetting Curve Calculator MCP on Mistral AI AgentsForgetting Curve Calculator MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

Forgetting Curve Calculator predicts memory decay using Ebbinghaus principles, telling you exactly when and how much you need to study to keep what you learn.

Stop guessing whether your review schedule is too loose or too intense. This MCP tracks how knowledge degrades over time, identifying critical drop-off points so you can build a precise, long-term learning plan.

What your AI can do

Estimate maintenance effort

Calculates how many future review sessions are needed to keep a topic stable long-term.

Get current retention

Gives you the exact percentage of memory strength for a given subject right now.

Predict decay thresholds

Predicts specific dates when your retention will fall below critical levels like 70% or 50%.

Determine current knowledge strength

Instantly calculate the percentage of information you still remember after a period of time.

Forecast memory failure points

Predict the specific dates and thresholds (70%, 50%, etc.) when your knowledge is likely to drop below a functional level.

Plan for long-term review sessions

Estimate the total number of future study sessions required to maintain a desired level of retention over years.

Included with Plan

Waiting for input…

AI Agent

Forgetting Curve Calculator: 3 Tools

These tools allow your agent to calculate current retention rates, forecast knowledge decay points, and plan long-term maintenance effort.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Forgetting Curve Calculator on Vinkius

Estimate Maintenance Effort

Calculates how many future review sessions are needed to keep a topic stable long-term.

Get Current Retention

Gives you the exact percentage of memory strength for a given subject right now.

Predict Decay Thresholds

Predicts specific dates when your retention will fall below critical levels like 70%...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Forgetting Curve Calculator integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
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  • Deploy to edge with MCPFusion framework
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  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Forgetting Curve Calculator, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
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  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
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Forgetting Curve Calculator MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Forgetting Curve Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manual Review Planning Is Hard

Right now, planning study time feels like a mess of sticky notes and vague feelings. You keep track of when you last looked at something, but calculating the next best review date—the one that hits the sweet spot between forgetting it completely and wasting time re-reading what you know—is impossible to do by hand.

With this MCP, your agent calculates those ideal intervals for you. Instead of guessing, you get a precise schedule telling you exactly when your knowledge is weakest and how much effort you need to put in to keep it stable.

Predict Decay Thresholds

You don't have to manually check multiple dates and percentages on a graph. The MCP handles the complex math, giving you clear warnings about when your knowledge will dip below 70%, 50%, or 20% retention.

This means you shift from reactive studying (cramming for immediate tests) to proactive planning—you address the problem before it becomes a failure.

What your AI can actually do with this

Learning something new—whether it's a complex programming concept or a historical timeline—is only half the battle. The real work is keeping it in your head later. This MCP helps map that decay process using established memory principles. Instead of just feeling like you 'forgot' something, you get data on when and why.

It calculates your current knowledge strength, predicts key failure points (like dropping below 70% retention), and even estimates the total review effort required for lasting mastery. You can connect this to Vinkius and let your AI agent automate scheduling based on actual memory decay rates, turning guesswork into predictable study cycles.

Built · Hosted · Managed by Vinkius Forgetting Curve Calculator - Predict Memory Decay
Server ID 019ee7e3-5df6-71a2-9ac9-4a410c1b94a6
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How does get_current_retention work? +

It calculates your memory strength as a percentage based on the study history you provide. This gives you an immediate, data-backed measure of how much you actually retained.

When should I use predict_decay_thresholds? +

Use this when you need to know your long-term risk profile. It predicts specific dates when critical retention levels are expected to drop, prompting you to schedule reviews early enough to prevent failure.

Is estimate_maintenance_effort just for estimating time? +

No. It estimates the number of future review sessions needed across a timeline to keep your knowledge stable and maintain a high level of retention over months or years.

Does this MCP work with my existing learning tools? +

Yes, it acts as an analytical layer. You feed it the data from your notes and study sessions, letting the MCP calculate the decay curve without needing to change how you gather information.

What specific data points must I provide when running `get_current_retention`? +

You need three key pieces of information: the initial study date, the total number of revisions performed, and the average time interval between those reviews. Providing this historical context gives the MCP enough data to calculate your current memory strength accurately.

What happens if I use `predict_decay_thresholds` with impossible dates? +

The tool requires a logically sequenced set of inputs, including valid starting and interval dates. If the MCP detects an invalid date range or conflicting data points, it returns an error code telling you exactly which input needs correction.

Are there any rate limits when running all three prediction tools? +

Vinkius manages high volume, but if you send a large number of requests in quick succession, the system may temporarily throttle you. We recommend batching your calls to keep your learning scheduling process smooth and reliable.

Does this MCP store my personalized retention data for later use? +

No, Vinkius processes your requests through your AI client session but doesn't permanently store your personal memory scores or study history. Your learning data remains private to your connected agent.

Built & Managed by Vinkius 30s setup 3 tools

We've already built the connector for Forgetting Curve Calculator. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 3 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
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