# Chalee MCP RAG

> Use this tool when you need to generate human-like responses to complex queries or process large documents to extract relevant information. It solves problems related to information retrieval, question answering, and text generation by leveraging OpenAI embeddings and semantic search. The tool takes in documents and queries as input and outputs relevant answers and generated text, making it ideal for applications requiring intelligent Q&A and document processing.

Canonical page: https://skillsregistry.net/skills/prettyking-chalee-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/prettyking-chalee-mcp-rag

## Description

Enables RAG (Retrieval-Augmented Generation) capabilities with document processing, vector storage, and intelligent Q\&A using OpenAI embeddings and semantic search.

## Trust

- **Trust score (0–1):** 0.83
- **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/excyks7gd4)
- **Repository:** <https://github.com/PrettyKing/chalee-mcp-rag>

## 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": "prettyking-chalee-mcp-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prettyking-chalee-mcp-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prettyking-chalee-mcp-rag/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