# code-search

> code-search — brandyn-s-code-search. Use this tool when you need to efficiently search and retrieve specific code snippets within large projects, solving problems of code discovery and reuse. It takes in search queries as input and outputs relevant code results with source-backed evidence, utilizing persistent per-project indexes and git integration. Ideal for use cases where developers require rapid code location and inspection, such as debugging, maintenance, or knowledge sharing.

Canonical page: https://skillsregistry.net/skills/brandyn-s-code-search  
JSON: https://api.skillsregistry.net/v1/skills/brandyn-s-code-search

## Description

Hybrid semantic + lexical code search MCP server with persistent per-project indexes and source-backed evidence

## 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:** GPL-3.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/brandyn-s/code-search)

## 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": "brandyn-s-code-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brandyn-s-code-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brandyn-s-code-search/pull`

---
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