# code-memory-rs

> Use this tool when you need to efficiently search and retrieve specific code snippets across multiple repositories using natural language queries. It solves problems of code discovery and reuse by providing accurate results through AST-aware chunking and hybrid vector/FTS5 retrieval. Ideal for developers working on large-scale projects with numerous repositories, it takes in natural language queries as input and outputs relevant code snippets.

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

## Description

Enables local semantic code search across repositories using natural language, with AST-aware chunking and hybrid vector/FTS5 retrieval.

## Trust

- **Trust score (0–1):** 0.00
- **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/um8rn17ts4)
- **Repository:** <https://github.com/juandisay/mcp-code-search-rs>

## 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": "juandisay-mcp-code-search-rs"
    }
  }
}
```

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