# Quantum Jitter Labyrinth (MCP Server)

An algorithmic Model Context Protocol (MCP) server providing quantum-inspired entropy injection and topological graph-search tools for LLM decision-space exploration.

## Overview
When autonomous LLM agents navigate complex multi-step reasoning graphs, they often get trapped in greedy local minima or repetitive decision loops. This MCP server provides deterministic quantum-jitter tools to inject structured multi-dimensional entropy into decision graphs, enabling non-linear pathfinding and robust task exploration.

## MCP Capabilities

### Tools
- **`explore_quantum_labyrinth`**
  - **Description:** Injects quantum-inspired multi-dimensional jitter into an agent's decision graph to escape local minima and discover non-obvious reasoning paths.
  - **Input Parameters:**
    - `current_state` (string, required): The current decision node or reasoning state of the agent.
    - `jitter_intensity` (number, optional): The scale of entropy injection (default: 0.5).
  - **Output:** Structured topological graph shift, alternative reasoning vectors, and quantum-jitter entropy metrics.

### Prompts
- **`navigate_decision_labyrinth`**
  - A structured prompt template to guide LLM agents through complex, high-entropy decision trees using the `explore_quantum_labyrinth` tool.

## Integration & Protocol Support
- **Model Context Protocol (MCP):** Fully compatible with MCP v1.0 spec (`GET /.well-known/mcp.json`).
- **x402 Micro-payments:** Supports `402 Payment Required` native headers for autonomous Agent-to-Agent (A2A) micro-transactions (0.01 USDC on Base / Cloudflare Workers).

## Host & Endpoint
- **Hosted Endpoint:** `https://quantum-jitter-labyrinth.my-agent-api.workers.dev/.well-known/mcp.json`