cursor-mcp-server-2

Surfer12/cursor-mcp-server-2

3.1

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Cursor MCP Server is a specialized server designed to handle model context protocols, facilitating seamless communication between language models and various applications.

Cursor MCP Server

🧠 Meta-Optimized Hybrid Reasoning Framework

by Ryan Oates
License: Dual — AGPLv3 + Peer Production License (PPL)
Contact: ryan_oates@my.cuesta.edu


✨ Purpose

This framework is part of an interdisciplinary vision to combine symbolic rigor, neural adaptability, and cognitive-aligned reasoning. It reflects years of integrated work at the intersection of computer science, biopsychology, and meta-epistemology.

It is not just software. It is a cognitive architecture, and its use is ethically bounded.


🔐 Licensing Model

This repository is licensed under a hybrid model to balance openness, reciprocity, and authorship protection.

1. For Commons-Aligned Users (students, researchers, cooperatives)

Use it under the Peer Production License (PPL). You can:

  • Study, adapt, and share it freely
  • Use it in academic or nonprofit research
  • Collaborate openly within the digital commons

2. For Public Use and Transparency

The AGPLv3 license guarantees:

  • Network-based deployments must share modifications
  • Derivatives must remain open source
  • Attribution is mandatory

3. For Commercial or Extractive Use

You must not use this work if you are a:

  • For-profit AI company
  • Venture-backed foundation
  • Closed-source platform ...unless you negotiate a commercial license directly.

📚 Attribution

This framework originated in:

Meta-Optimization in Hybrid Theorem Proving: Cognitive-Constrained Reasoning Framework, Ryan Oates (2025)

DOI: [Insert Zenodo/ArXiv link here]
Git commit hash of original release: a17c3f9...
This project’s cognitive-theoretic roots come from studies in:

  • Flow state modeling
  • Symbolic logic systems
  • Jungian epistemological structures

🤝 Community Contributor Agreement

If you are a student, educator, or aligned research group and want to contribute:

  1. Fork this repo
  2. Acknowledge the author and original framework
  3. Use the “Contributors.md” file to describe your adaptation
  4. Optional: Sign and return the to join the federated research network

🚫 What You May Not Do

  • Integrate this system into closed-source LLM deployments
  • Resell it or offer derivative products without explicit approval
  • Strip author tags or alter authorship metadata

📬 Contact

Want to collaborate, cite properly, or license commercially?
Reach out: ryan_oates@my.cuesta.edu