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Learning Model Context Protocol MCP Server

by yarnabrina Your server? Claim it
local only

Learning Model Context Protocol runs on your own machine — the client starts it, so there is no endpoint to ping. 103 installs a week from pypi. Last commit 1 Nov 2026.

Basic arithmetic tools with natural-language expression parsing and evaluation.

Installs per day peak 289 · avg 27 · -45% w/w
a month agotoday
103
Installs / week
pypi · mcp-learning
4
Stars
2 open issues
1 Nov 2026
Last commit
from GitHub
—
License
Python

Nothing serious here today

Today is the operative word: we check Learning Model Context Protocol 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

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add mcp-learning -- uvx mcp-learning
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-learning": {
      "command": "uvx",
      "args": [
        "mcp-learning"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-learning]
command = "uvx"
args = ["mcp-learning"]
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-learning": {
      "command": "uvx",
      "args": [
        "mcp-learning"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-learning": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-learning"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: DEBUG (Enable additional debug logging output), RUNTIME_ENVIRONMENT (Logging/runtime environment), LOG_LEVEL (Log level for server output; the server defaults to INFO), LOG_FILE (Optional path for a server log file), JSON_RESPONSE (Return JSON payloads for HTTP responses instead of newline-delimited JSON), STATELESS_HTTP (Disable HTTP keep-alive to serve each request independently).

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Learning Model Context Protocol — questions

Answers built from our own checks of this server.

Why is there no uptime for Learning Model Context Protocol?
Learning Model Context Protocol runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package mcp-learning was installed 103 times last week.
How do I connect Learning Model Context Protocol?
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 runs locally, so the command pulls mcp-learning straight from pypi; nothing to host, nothing to sign up for.
How many people use Learning Model Context Protocol?
The pypi package mcp-learning was installed 103 times in the last week. Week over week that is -45%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Learning Model Context Protocol open source?
We cannot say either way: written in Python, 4 stars on GitHub and 2 open issues, but we could not determine the licence, and without one the code is not open source by default.