mcp-cursor-extension

The MCP Cursor Extension is an advanced AI coding assistant designed to revolutionize developer interactions through intelligent context processing and dynamic reasoning. It aims to adapt to developer needs and evolve knowledge iteratively. The system features intelligent context extraction, an advanced reasoning engine, and an adaptive learning orchestrator.

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README
🧠 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 Community Contributor Agreement (CCA) 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

🧠 MCP Cursor Extension: Cognitive Interaction Framework
🔍 Project Overview

An advanced, adaptive AI coding assistant designed to revolutionize developer interactions through intelligent context processing and dynamic reasoning.

🌐 Core Design Principles
  • Dynamic Contextual Adaptation
  • Transparent Reasoning Process
  • Structured Computational Flexibility
  • Iterative Knowledge Refinement
🚀 Key Research Dimensions
  1. Cognitive Interaction Modeling
  2. Adaptive Learning Mechanisms
  3. Contextual Reasoning Frameworks
  4. Dynamic Knowledge Representation
🧩 System Architecture
  • Intelligent Context Extraction
  • Advanced Reasoning Engine
  • Adaptive Learning Orchestrator
  • Comprehensive Interaction Tracing
🔬 Research Objectives
  • Develop nuanced computational reasoning capabilities
  • Create self-evolving interaction frameworks
  • Model complex interdisciplinary interaction patterns