Which MCP servers can I use with this skill?

The skill supports a diverse array of servers including Firecrawl, Exa, HuggingFace, Radare2, Tree-Sitter, Babashka, and Unison, among others.

How does this improve web scraping?

It creates a pipeline where Firecrawl scrapes the data, Tree-Sitter validates the HTML/code structure, and Babashka transforms the output, ensuring high-quality data collection.

What is a tripartite structure in this skill?

It refers to a mathematical framework where three MCP tools (a generator, a validator, and a transformer) work in unison to ensure task results are balanced and verified according to GF(3) conservation.

Does mcp-tripartite require manual configuration?

While it requires the MCP servers to be defined in your config files, the skill handles the logic of pairing them into 'Minus', 'Plus', and 'Ergodic' roles automatically.

MCP Tripartite Orchestrator

Name: MCP Tripartite Orchestrator
Author: plurigrid

byplurigrid

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Herramientas para Desarrolladores

Orchestrates Model Context Protocol (MCP) servers using a mathematical 3-partite framework to ensure balanced tool integration and data validation.

The mcp-tripartite skill provides a sophisticated orchestration layer for Claude, organizing Model Context Protocol (MCP) servers into balanced triads based on Galois Field (GF(3)) principles. By assigning each tool a specific role—Validator (-1), Generator (+1), or Ergodic (0)—it ensures that complex tasks like web scraping, binary analysis, and code generation are performed with built-in validation and transformation steps. This skill is ideal for developers needing to chain disparate tools like Firecrawl, Radare2, and HuggingFace into cohesive, mathematically conserved workflows.

Características Principales

01GF(3) Balanced Orchestration: Automatically pairs MCP tools with complementary validators and generators to ensure process integrity.

02Formal Verification: Leverages tools like ProofGeneral-Narya and clj-kondo to verify model properties and code structures during execution.

03Structural Web Scraping: Combines Firecrawl for data collection with Tree-sitter for parsing and Babashka for data transformation.

04Multi-Language Interop: Seamlessly integrates tools across Julia, Clojure, Python, and Ruby environments within a single workflow.

05AI Research Discovery: Chains Exa search with HuggingFace model discovery and Radare2 for deep code analysis.

067 GitHub stars

Casos de Uso

01Creating robust web scraping pipelines that require structural validation and automated data transformation.

02Conducting deep binary analysis and security research by combining AI search with low-level reverse engineering tools.

03Managing complex development environments where linting, execution, and REPL exploration must remain synchronized.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi mcp-tripartite

For use in Claude.ai and ChatGPT

Download Skill