# CodeMCP

> Use this tool when you need to analyze and understand complex codebases, navigate symbols, and map architectures to inform AI-driven development decisions. It solves problems related to code comprehension, impact analysis, and architecture visualization, supporting use cases such as debugging, refactoring, and optimization. With inputs from git repositories and outputs via CLI, HTTP API, or MCP server, CodeMCP provides actionable insights to enhance AI assistant capabilities.

Canonical page: https://skillsregistry.net/skills/simplyliz-codemcp  
JSON: https://api.skillsregistry.net/v1/skills/simplyliz-codemcp

## Description

Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and architecture mapping

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-04-25

## Source

- **Source listing:** [GitHub](https://github.com/SimplyLiz/CodeMCP)

## 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": "simplyliz-codemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/simplyliz-codemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/simplyliz-codemcp/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