# codeindex

> codeindex — munhq-codeindex. Use this tool when you need to analyze and understand code structure across multiple programming languages, as it provides a comprehensive code-intelligence engine with features like tree-sitter parsing, trigram and inverted indexes, and dependency graphing. It solves problems related to code navigation, search, and dependency management, and accepts code repositories as input, outputting structured data for further analysis. Ideal for use in development environments, particularly with git version control systems.

Canonical page: https://skillsregistry.net/skills/munhq-codeindex  
JSON: https://api.skillsregistry.net/v1/skills/munhq-codeindex

## Description

Structural code-intelligence engine in Zig — tree-sitter across 40+ languages, trigram and inverted indexes, dependency graph, exposed as an MCP server

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/munhq/codeindex)

## 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": "munhq-codeindex"
    }
  }
}
```

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