# Z3/SMT MCP Server

> Use this tool when you need to solve complex constraints, perform logical reasoning, or check satisfiability using natural language inputs. It enables users to interact with the Z3 theorem prover, providing outputs such as solutions, proofs, or counterexamples. Ideal for use cases involving formal verification, automated reasoning, and decision-making under uncertainty.

Canonical page: https://skillsregistry.net/skills/newjerseystyle-z3smt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/newjerseystyle-z3smt-mcp

## Description

Enables constraint solving, logical reasoning, and satisfiability checking using the Z3 theorem prover via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j94rbohdhd)
- **Repository:** <https://github.com/NewJerseyStyle/z3smt-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "newjerseystyle-z3smt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/newjerseystyle-z3smt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/newjerseystyle-z3smt-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt