# RAGex

> Use this tool when you need to efficiently search and reuse existing code patterns in your codebase, saving time and reducing duplication. RAGex solves problems of code discovery and reuse, allowing for faster development and improved maintainability. It takes in semantic search queries and outputs relevant code patterns, making it ideal for use cases where code reuse and efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/jbenshetler-mcp-ragex  
JSON: https://api.skillsregistry.net/v1/skills/jbenshetler-mcp-ragex

## Description

Gives Claude semantic search superpowers to find and reuse existing patterns in your codebase.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f3h866uwa0)
- **Repository:** <https://github.com/jbenshetler/mcp-ragex>

## 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": "jbenshetler-mcp-ragex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jbenshetler-mcp-ragex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jbenshetler-mcp-ragex/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