# QWED-MCP

> Use this tool when you need to verify the correctness of AI assistant code and ensure deterministic outcomes. QWED-MCP solves problems of code uncertainty by executing Python code with symbolic engines like SymPy and Z3 for thorough math, logic, and code analysis. It takes in Python code as input and outputs verification results, making it ideal for use cases requiring rigorous code validation.

Canonical page: https://skillsregistry.net/skills/qwed-ai-qwed-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qwed-ai-qwed-mcp

## Description

Enables deterministic verification for AI assistants by executing Python code that uses symbolic engines like SymPy and Z3 for math, logic, and code analysis.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w2wg9hdkgp)
- **Repository:** <https://github.com/QWED-AI/qwed-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": "qwed-ai-qwed-mcp"
    }
  }
}
```

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