# Code RAG

> Use this tool when you need to efficiently search and understand large codebases using semantic search and vector embeddings. It solves problems such as finding similar code patterns, explaining code in context, and managing indexing operations across multiple programming languages. The Code RAG tool takes in code repositories and outputs relevant search results, similar code patterns, and explanations, making it ideal for use cases such as code discovery, reuse, and maintenance.

Canonical page: https://skillsregistry.net/skills/mirrdhyn-code-rag  
JSON: https://api.skillsregistry.net/v1/skills/mirrdhyn-code-rag

## Description

A semantic code search server that enables searching and understanding codebases using vector embeddings and similarity search. Built in Go with Qdrant vector database integration, it supports local embeddings via LM Studio or OpenAI embeddings, and provides incremental indexing with git hook automation for keeping code indices up-to-date. Offers tools for semantic code search, finding similar code patterns, explaining code with context, and managing indexing operations across multiple programming languages including Go, Python, JavaScript/TypeScript, Terraform, and others.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mirrdhyn-code-rag)
- **Repository:** <https://github.com/mirrdhyn/code-rag-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": "mirrdhyn-code-rag"
    }
  }
}
```

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