# hw_rag_mcp

> Use this tool when you need to efficiently search and retrieve specific document fragments from a large knowledge base. The hw_rag_mcp tool indexes the knowledge base into Chroma and utilizes vector embeddings to provide accurate search results. It is ideal for applications requiring intelligent information retrieval, such as question answering, text summarization, and document analysis.

Canonical page: https://skillsregistry.net/skills/schuchev-hw-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/schuchev-hw-rag-mcp

## Description

MCP server that indexes a knowledge base into Chroma and provides search tools for retrieving document fragments via vector embeddings.

## Trust

- **Trust score (0–1):** 0.99
- **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/adahgap81a)
- **Repository:** <https://github.com/schuchev/hw_rag_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": "schuchev-hw-rag-mcp"
    }
  }
}
```

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