# TeaRAGs

> Use this tool when you need to efficiently search and retrieve specific code snippets within large enterprise-scale codebases. TeaRAGs solves problems related to code discovery, reuse, and maintenance by providing precise semantic search capabilities and filtering options based on authorship, code age, and churn rate. It takes in code repositories as input and outputs relevant search results, making it ideal for use cases involving complex codebase management and optimization.

Canonical page: https://skillsregistry.net/skills/artk0de-tearags  
JSON: https://api.skillsregistry.net/v1/skills/artk0de-tearags

## Description

A high-performance semantic code search server built on Qdrant vector database with support for multiple embedding providers including Ollama, OpenAI, Cohere, and Voyage AI. Features AST-aware chunking using Tree-sitter for precise semantic boundaries, hybrid search combining dense vectors with BM25, and git metadata integration for filtering by authorship, code age, and churn rate. Designed for enterprise-scale codebases with incremental indexing that only reprocesses changed files.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/artk0de-tearags)
- **Repository:** <https://github.com/artk0de/tearags-mcp>

## 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": "artk0de-tearags"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/artk0de-tearags` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/artk0de-tearags/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