Z3 Theorem Prover with Functional Programming

Name: Z3 Theorem Prover with Functional Programming
Author: javergar

@javergar

リポジトリ

Z3 Theorem Prover with Functional Programming について

An MCP server for the z3 theorem prover

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

javergar

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "z3_mcp": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Z3 Theorem Prover with Functional Programming?

A Python MCP server that wraps the Z3 Theorem Prover using functional programming principles—immutable data structures, monadic error handling, and pure functions—to solve constraint satisfaction problems and analyze entity relationships.

How to use Z3 Theorem Prover with Functional Programming?

Clone the repo, install dependencies via uv pip install -e ., then run examples with python -m z3_poc.examples.main or start the MCP server with python -m z3_poc.server.main. Configure the server in your VSCode settings.json under mcpServers to enable it in Claude via Cline.

Key features of Z3 Theorem Prover with Functional Programming

Constraint satisfaction problem solving with Z3
Relationship analysis and inference between entities
Functional programming: immutable Pydantic models, Result/Maybe types
MCP server with four tools for constraint and relationship queries
Simple and full-model interfaces for both solvers and analyzers

Use cases of Z3 Theorem Prover with Functional Programming

Solve N-Queens puzzle with integer variables and constraints
Infer family relationships (e.g., sibling chains) from partial data
Perform temporal reasoning with causal relationships
Decode cryptarithmetic puzzles like SEND + MORE = MONEY

FAQ from Z3 Theorem Prover with Functional Programming

What dependencies does the server require?

Python 3 with Z3, returns for functional abstractions, Pydantic for models, and FastMCP for the MCP interface.

How do I run the MCP server for Claude?

Set command to "uv" and args to ["--directory", "/path/to/z3_poc", "run", "z3_poc/server/main.py"] in your Cline configuration.

Can tools be used without explicit approval?

Yes—list tool names (e.g., simple_constraint_solver, analyze_relationships) in the autoApprove array.

What data is stored or transmitted?

All data stays local in Python memory; the server processes queries and returns results without persistent storage.

Does the server use authentication or custom transports?

The README does not specify authentication or non-standard transports; it relies on standard MCP tool invocation.

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