Do I need specific programming languages installed?

Yes, depending on the triad you are using, you may need Julia (for GAY.jl), Node.js (for HuggingFace), or Clojure/Babashka environments configured in your system.

What is GF(3) conservation in this context?

GF(3) conservation is a mathematical framework used to balance three distinct roles—Validator (-1), Generator (+1), and Ergodic (0)—ensuring that every generative tool's output is formally verified.

Which MCP servers are supported by this skill?

It supports a wide range of servers including Firecrawl, Exa, HuggingFace, Radare2, Tree-Sitter, Babashka, Unison, and Marginalia.

How does this improve AI coding safety?

By enforcing a 'Minus' partner (like a linter or parser) for every 'Plus' partner (like a scraper or generator), it ensures that AI-generated or collected data is structurally sound before use.

MCP Tripartite Integration

Name: MCP Tripartite Integration
Author: plurigrid

byplurigrid

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Developer Tools

Orchestrates MCP servers into balanced tripartite structures to ensure formal validation and structural integrity across development workflows.

About

The MCP Tripartite skill implements a unique GF(3) conservation model to manage and integrate various Model Context Protocol (MCP) servers. By organizing tools into triads—consisting of a validator (Minus), a generator (Plus), and a coordinator (Ergodic)—it ensures that complex tasks like web scraping, binary analysis, and AI model discovery are always balanced by structural validation and deterministic execution. This skill is ideal for developers building sophisticated agentic workflows that require high levels of coordination and mathematical consistency between disparate tools like Radare2, Firecrawl, and HuggingFace.

Key Features

2 GitHub stars
Advanced Content Processing: Combines Firecrawl scraping with Tree-Sitter for immediate structural validation.
AI Research Discovery: Links Exa search with HuggingFace model exploration and formal property verification.
Multi-Platform Orchestration: Seamlessly integrates Julia, Clojure, Python, and Node.js environments.
GF(3) Conservation Logic: Balances tools into validator-generator-ergodic triads.
Deterministic Code Mapping: Uses GAY-MCP for seed-based color coding of AST elements and code nodes.

Use Cases

Validating web-scraped data structures in real-time using Tree-Sitter and Babashka.
Orchestrating AI model discovery with formal verification of model properties via ProofGeneral-Narya.
Reverse engineering binaries with Radare2 while cross-referencing indie documentation via Marginalia.

About

Key Features

2 GitHub stars
Advanced Content Processing: Combines Firecrawl scraping with Tree-Sitter for immediate structural validation.
AI Research Discovery: Links Exa search with HuggingFace model exploration and formal property verification.
Multi-Platform Orchestration: Seamlessly integrates Julia, Clojure, Python, and Node.js environments.
GF(3) Conservation Logic: Balances tools into validator-generator-ergodic triads.
Deterministic Code Mapping: Uses GAY-MCP for seed-based color coding of AST elements and code nodes.

Use Cases

Validating web-scraped data structures in real-time using Tree-Sitter and Babashka.
Orchestrating AI model discovery with formal verification of model properties via ProofGeneral-Narya.
Reverse engineering binaries with Radare2 while cross-referencing indie documentation via Marginalia.