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Mpc Mcp Server

@ronviers

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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

Config

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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

Comments

Basic information

Category

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Transports

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Author

ronviers

Submitted by

Ron Viers

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