learning-orchestrator-mcp

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:

seosiri-biorobotics: A stateless bio-robotic coordinate mapper translating genomic data to G-code [cc8013f].
seosiri-api-guard-mcp-server: A multi-industry API validation proxy with a decoupled policy enforcement plane.
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:

Official Website: seosiri.com
Enterprise Support Email: [email protected]

🪙 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:

GitHub Sponsors: Sponsor SEOSiri-Official

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

Install Package in Editable Mode:
```
pip install -e .
```
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

learning-orchestrator-mcp