# Tea Rags MCP

> Use this tool when you need to perform fast and private semantic searches or index large codebases, as it solves problems related to efficient information retrieval and code discovery. It takes in code repositories and git metadata as inputs and outputs relevant search results, utilizing optimized embedding pipelines and vector databases. Ideal for developers and teams requiring rapid, secure, and accurate code search and discovery capabilities.

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

## Description

A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.

## 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:** database
- **Updated:** 2026-05-08

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yyps2cz1bm)
- **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-mcp"
    }
  }
}
```

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