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Z3 Theorem Prover with Functional Programming MCP Server

@javergar

Repository

Basic information

Category

Other

Transports

stdio

Author

javergar

About Z3 Theorem Prover with Functional Programming MCP Server

An MCP server for the z3 theorem prover

#mathgpt#math-solver#math-assistant

Z3 Theorem Prover with Functional Programming MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Z3 Theorem Prover with Functional Programming 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 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

Frequently asked questions

1

What dependencies does the server require?

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

2

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.

3

Can tools be used without explicit approval?

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

4

What data is stored or transmitted?

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

5

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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