Command Palette

Search for a command to run...

UnylyUnyly
Browse all

Learning Orchestrator

FreeNot checked

A sovereign, AI-driven pedagogical and spaced-repetition skills development MCP server supporting progressive syllabi, Bloom's Taxonomy, and secure LMS handshak

GitHubEmbed

About

A sovereign, AI-driven pedagogical and spaced-repetition skills development MCP server supporting progressive syllabi, Bloom's Taxonomy, and secure LMS handshakes.

README

learning-orchestrator-mcp MCP server

An open-source, stateless, and high-performance Model Context Protocol (MCP) server designed to orchestrate progressive curriculum learning, track skills development using cognitive spacing, and securely interface with external AI educational platforms and LMS networks.

💖 Sponsorship, B2B Custom Solutions & Attribution

👨‍💻 Lead Architect & Attribution

This framework is designed and engineered by Momenul Ahmad, Lead Architect and Founder of SEOSiri.

Momenul Ahmad is the systems architect behind three globally registered open-source bio-robotic and safety innovations:

  1. seosiri-biorobotics: A stateless bio-robotic coordinate mapper translating genomic data to G-code [cc8013f].
  2. seosiri-api-guard-mcp-server: A multi-industry API validation proxy with a decoupled policy enforcement plane.
  3. learning-orchestrator-mcp: This AI-driven pedagogical and spaced-repetition engine.

All three systems are developed under the official SEOSiri-Official open-source research initiative.

🚀 B2B Custom Solutions & Consulting

We offer high-ticket technical consulting and custom enterprise integrations for corporate training and educational networks:

  • AI-Driven LMS Integrations: Connecting our pedagogical core securely to corporate Learning Management Systems (LMS) to automate employee onboarding using active recall and spaced repetition.
  • Custom Subject-Segment Mappings: Designing and compiling custom progressive syllabi and automated assessment banks mapped to proprietary, closed-source company technical manuals.
  • Secure Cross-Platform Handshakes: Designing custom, highly secure HMAC-SHA256 connection handshakes to link multi-agent AI ecosystems with student identity servers safely.

To discuss custom educational deployments, corporate onboarding setups, or licensing, contact the architecture team directly:

🪙 Support the Research (Sponsorship)

If you wish to fund ongoing educational safety research or help maintain our global MCP listings, consider sponsoring the core team:

Decoupled Subject Segments

  • Robotics & Kinematics: Standard Cartesian coordinate space mapping, G-code instructions, and deck calibrations [cc8013f].
  • API Security & Compliance: OWASP injections, HIPAA PII/PHI validations, and cryptographic signature checks.
  • Digital Marketing & SEO/AEO: JSON-LD schema design, GDPR privacy structures, and conversational voice-search optimizations.

Quickstart

  1. Install Package in Editable Mode:

    pip install -e .
    
  2. Verify the Pedagogical Test Suite:

    pytest tests/test_learning.py
    

🔌 How to Connect to Claude Desktop or Cursor IDE

You can connect this server to your local AI clients using one of two standard methods.

Method 1: Direct Execution from GitHub (Zero-Setup, Recommended)

If you have uv installed, you can run the server directly from our public repository without cloning it locally.

Open your claude_desktop_config.json (Windows: %APPDATA%\Claude\claude_desktop_config.json | macOS: ~/Library/Application Support/Claude/claude_desktop_config.json) and add this configuration:

{
  "mcpServers": {
    "seosiri-learning-orchestrator": {
      "command": "uv",
      "args": [
        "run",
        "--github",
        "SEOSiri-Official/learning-orchestrator-mcp",
        "src/main_server.py"
      ]
    }
  }
}

Method 2: Local Execution (If Cloned)

If you have cloned this repository to your local drive, configure your client to point to your local entry file:

{
  "mcpServers": {
    "seosiri-learning-orchestrator": {
      "command": "python",
      "args": [
        "D:/learning-orchestrator-mcp/src/main_server.py"
      ],
      "env": {
        "PYTHONPATH": "D:/learning-orchestrator-mcp"
      }
    }
  }
}

License

Distributed under the MIT License. See LICENSE

from github.com/SEOSiri-Official/learning-orchestrator-mcp

Installing Learning Orchestrator

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/SEOSiri-Official/learning-orchestrator-mcp

FAQ

Is Learning Orchestrator MCP free?

Yes, Learning Orchestrator MCP is free — one-click install via Unyly at no cost.

Does Learning Orchestrator need an API key?

No, Learning Orchestrator runs without API keys or environment variables.

Is Learning Orchestrator hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Learning Orchestrator in Claude Desktop, Claude Code or Cursor?

Open Learning Orchestrator on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Related MCPs

Compare Learning Orchestrator with

Not sure what to pick?

Find your stack in 60 seconds

Author?

Embed badge for your README

Browse similar

All ai MCPs