0. Protocol Vision
- Vectorization: Transforming personal capabilities into high-dimensional vectors.
- Privacy-First: Local encryption of raw data; only feature vectors are routed.
- Intent Routing: Connecting nodes based on complementary skill sets, not just keywords.
1. Core Data Structure (MCP Node)
{
"id": "uuid",
"identity": {
"name": "string",
"background": "Full Stack Developer / Solopreneur",
"tags": ["Vibe Coding", "System Architect"]
},
"vectors": {
"logic": [0.12, 0.88, 0.45, ...], // Extracted from GitHub
"aesthetic": [0.95, 0.22, 0.11, ...], // Extracted from Portfolio
"intent": "Looking for: AI Hardware Engineer"
},
"mcp_data": {
"super_power": "Builds MVP in 2 hours",
"anti_power": "Hates writing CSS details"
}
}2. Matching Logic (Vibe Matcher)
The matching algorithm prioritizes complementary skill sets over similarity.
// Pseudo-code for Vibe Score Calculation
function calculateMatch(nodeA, nodeB) {
// 1. Calculate Complementary Score (e.g., Dev + Designer)
const skillComplement = crossProduct(nodeA.vectors.skills, nodeB.vectors.needs);
// 2. Calculate Vibe Symbiosis (Personality fit)
const vibeFit = cosineSimilarity(nodeA.vectors.vibe, nodeB.vectors.vibe);
return (skillComplement * 0.7) + (vibeFit * 0.3);
}3. Architecture
Feature Extractor
Analyzes unstructured data (GitHub, Twitter) using LLMs to generate standard 17Kernel vectors.
Intent Router
A distributed routing table that connects nodes based on current intent signals.