Learn Shell vs Sports Context Protocol

In-depth architectural comparison of the Learn Shell and Sports Context Protocol MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Learn Shell when:

• You need dedicated capabilities in the Education domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Learn Shell Details

Choose Sports Context Protocol when:

• You need dedicated capabilities in the Education domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Sports Context Protocol Details

Feature & Specification Comparison

Specification	Learn Shell sf-shenfeng Education	Sports Context Protocol Education
Summary	Agent-native teaching OS: gives your AI a classroom that remembers. 50 tools for courses, lessons, FSRS flashcards, graded exercises, real-time teaching sessions, and teaching-memory read-back (getcontext) — the agent authors and grades, reflects with evidence, and revises its own lessons; lesson completion belongs to the learner. Self-hosted (Postgres + web app), MIT.	Self-learning operational context layer for AI sports agents. Profile 001: golf.
Category & Scope

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "sf-shenfeng-learn-shell": {
      "command": "npx",
      "args": [
        "-y",
        "sf-shenfeng-learn-shell"
      ]
    }
  }
}

{
  "mcpServers": {
    "sports-context-protocol": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

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