Mpc MCP Server
@ronviers
Basic information
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
Mpc MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMpc MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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