# code-search

> Use this tool when you need to efficiently search and retrieve specific code snippets across large repositories using natural language queries. It solves problems of manual code searching, providing fast and accurate results through vector embeddings and automatic file watching. The tool accepts natural language inputs and returns relevant code outputs, making it ideal for developers seeking to streamline their coding workflow.

Canonical page: https://skillsregistry.net/skills/amolchanov-mcp-code-search  
JSON: https://api.skillsregistry.net/v1/skills/amolchanov-mcp-code-search

## Description

Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hwo20niw05)
- **Repository:** <https://github.com/amolchanov/mcp-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": "amolchanov-mcp-code-search"
    }
  }
}
```

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