# CodeRAG

> Use this tool when you need to rapidly search and retrieve code snippets from large codebases, leveraging hybrid search capabilities that combine TF-IDF and vector embeddings for accurate results. It solves problems of slow code discovery and offline access, providing sub-50ms latency and real-time indexing. Ideal for AI assistants requiring fast and reliable code retrieval, CodeRAG accepts code queries as input and returns relevant code snippets as output.

Canonical page: https://skillsregistry.net/skills/sylphxai-coderag  
JSON: https://api.skillsregistry.net/v1/skills/sylphxai-coderag

## Description

A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hhvwzwkcca)
- **Repository:** <https://github.com/SylphxAI/coderag>

## 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": "sylphxai-coderag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sylphxai-coderag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sylphxai-coderag/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