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Learning Optimizer MCP Server

answering

Learning Optimizer is answering right now. Last checked 7 min ago. Last commit 29 Oct 2026.

Schedule spaced reviews and exam study plans from each learner's forgetting curve.

Uptime history 13 days of history
13 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
367 ms
Response time
average over 24h
4
Stars
last commit 29 Oct 2026

Nothing serious here today

Today is the operative word: we check Learning Optimizer every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add learning-optimizer --transport http https://learning-optimizer-mcp.saifs.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
https://learning-optimizer-mcp.saifs.ai/mcp
~/.codex/config.toml
[mcp_servers.learning-optimizer]
url = "https://learning-optimizer-mcp.saifs.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "learning-optimizer": {
      "url": "https://learning-optimizer-mcp.saifs.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "learning-optimizer": {
      "type": "http",
      "url": "https://learning-optimizer-mcp.saifs.ai/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://learning-optimizer-mcp.saifs.ai/mcp streamable-http sign-in 369 ms 7 min ago

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Learning Optimizer — questions

Answers built from our own checks of this server.

Why is there no tool list for Learning Optimizer?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Learning Optimizer working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 367 ms. The bar chart above shows every period we have measured.
How do I connect Learning Optimizer?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Learning Optimizer?
No API key is involved. Learning Optimizer answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Learning Optimizer?
It answers our handshake in 367 ms on average, which is faster than 38% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Learning Optimizer open source?
The code is open source: it is published under the MIT licence and 4 stars on GitHub. The licence covers the code in the repository, not the hosted service at learning-optimizer-mcp.saifs.ai, which runs on its operator's own terms.