# Headless Codebase Indexer

> Use this tool when you need to efficiently navigate and understand large codebases, and enable AI agents to perform semantic searches and track definitions and references. It solves problems of codebase complexity and discoverability by providing vector embeddings and native language server capabilities. Ideal for use cases where autonomous agents require deep code understanding, such as automated code review, bug tracking, and code optimization.

Canonical page: https://skillsregistry.net/skills/y1hanh-codebase-indexer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/y1hanh-codebase-indexer-mcp

## Description

A minimalist indexing tool that provides AI agents with semantic search and structural AST parsing for deep codebase understanding. It enables autonomous agents to navigate large codebases predictably using vector embeddings and native language server capabilities like definition and reference tracking.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fvtt0ml1gl)
- **Repository:** <https://github.com/y1hanh/codebase-indexer-mcp>

## 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": "y1hanh-codebase-indexer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/y1hanh-codebase-indexer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/y1hanh-codebase-indexer-mcp/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