# mcpwith-codemode-cc

> mcpwith-codemode-cc — aisideskicks-mcpwith-codemode-cc. Use this tool when you need to execute code inside a server environment, leveraging Large Language Models (LLMs) for enhanced functionality, and compare it with traditional methods. It solves problems related to code execution, version control, and collaboration, accepting Git inputs and providing executable code outputs. Ideal for use cases requiring efficient code management and comparison, such as development, testing, and education.

Canonical page: https://skillsregistry.net/skills/aisideskicks-mcpwith-codemode-cc  
JSON: https://api.skillsregistry.net/v1/skills/aisideskicks-mcpwith-codemode-cc

## Description

EDU AI LAB: codemode - new way how LLM can exec code inside MCP srv (Contrast & Compare old ways)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AISidesKicks/mcpwith-codemode-cc)

## 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": "aisideskicks-mcpwith-codemode-cc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aisideskicks-mcpwith-codemode-cc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aisideskicks-mcpwith-codemode-cc/pull`

---
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