Mpc Mcp Server

Name: Mpc Mcp Server
Author: ronviers

@ronviers

About Mpc Mcp Server

a four-valued logic in which the truth values V = {c, s, k, r} represent the canonical regimes of the constraint energy landscape

#mcp #mcp-server #fastmcp #python

Basic information

Config

No standard config provided

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Repository

Tools

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Overview

What is Mpc Mcp Server?

Mpc Mcp Server implements the Metastable Propositional Calculus (MPC) engine, which analyzes the thermodynamic and physical feasibility of logical assertions across multi-step reasoning. It detects epistemic drift and structural conflicts (k-states) by calculating energetic holding costs of maintaining premises over time, used to verify whether a complex sequence of claims can be maintained without contradiction.

How to use Mpc Mcp Server?

Install with pip install -e . (Python ≥ 3.11 required), set environment variables for your chosen AI provider(s) (e.g., ANTHROPIC_API_KEY), then run mpc-server. This starts an MCP server on stdio (registerable in Claude Desktop or any MCP client) and a browser UI at http://localhost:7771. Use the provided MCP tools or the UI to perform MPC analyses.

Key features of Mpc Mcp Server

Five AI provider routing: Anthropic, Google, OpenAI, Kimi, Ollama.
Dynamic model listing from supported providers with TTL cache.
Full MPC analysis with thermodynamic free energy and Ising ground state.
Per-claim phase assignment with rationale.
Budget estimation via Theorem 6.1 without API call.
Browser UI with interactive 3D plots and configuration.

Use cases of Mpc Mcp Server

Verify multi-step reasoning chains for logical consistency.
Detect conflicting premises in

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