# @meeseeks-sdk/mcp

> Use this tool when you need to validate and score generated code, ensuring its quality and reliability before deployment. It solves problems related to code quality control and automated testing, providing a sandbox environment for execution and scoring. The tool takes generated code as input, executes it in a sandbox, and returns the scored code as output, ideal for use cases requiring rigorous code validation.

Canonical page: https://skillsregistry.net/skills/abrahamcasanova-meeseeks-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abrahamcasanova-meeseeks-mcp

## Description

An MCP server that runs a quality gate on generated code, executing it in a sandbox and scoring it before returning the code to the user.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zd0p5it3tc)
- **Repository:** <https://github.com/abrahamcasanova/meeseeks-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": "abrahamcasanova-meeseeks-mcp"
    }
  }
}
```

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