# code-indexer

> code-indexer — lightspeeddms-code-indexer. Use this tool when you need to efficiently search and understand large codebases, and solve problems related to code discovery, navigation, and documentation. The code-indexer provides semantic searching, git history search, and automatic wiki generation, accepting inputs such as CLI commands, repository data, and markdown files, and outputting relevant code snippets, search results, and generated documentation. It is particularly useful in contexts where developers need to quickly find specific code, track changes, or generate documentation for their projects.

Canonical page: https://skillsregistry.net/skills/lightspeeddms-code-indexer  
JSON: https://api.skillsregistry.net/v1/skills/lightspeeddms-code-indexer

## Description

Self-hosted code intelligence hub. Uses VoyageAI embeddings for semantic searching code. CLI + server modes, MCP for Claude Desktop, FTS/regex, git history search, and SCIP searches. Automatic inter repository domain mapping. Automatic wiki generation for repos containing .md files and images.

## 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:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/LightspeedDMS/code-indexer)

## 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": "lightspeeddms-code-indexer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lightspeeddms-code-indexer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lightspeeddms-code-indexer/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