# codebase-index

> Use this tool when you need to efficiently search and understand your codebase using natural language queries. It solves problems of code discovery and navigation by providing semantic search and file context retrieval capabilities. The codebase-index tool takes natural language queries as input and returns relevant code files and context as output, making it ideal for use cases such as code review, debugging, and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/levelpanic-codebase-index  
JSON: https://api.skillsregistry.net/v1/skills/levelpanic-codebase-index

## Description

AST-aware codebase indexing with semantic search, exposed as an MCP server. Enables semantic search and file context retrieval across your codebase using natural language queries.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kw51e8iku0)
- **Repository:** <https://github.com/LevelPanic/codebase-index>

## 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": "levelpanic-codebase-index"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/levelpanic-codebase-index` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/levelpanic-codebase-index/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