# mcp-rag-assistant

> mcp-rag-assistant — edwinin01-mcp-rag-assistant. Use this tool when you need to efficiently retrieve and manage knowledge from large document collections, and visualize the retrieval process. It solves problems related to information overload and inaccurate search results by providing hybrid search, reranking, and visualization capabilities. The tool takes in search queries and document collections as inputs and outputs relevant documents and retrieval process visualizations.

Canonical page: https://skillsregistry.net/skills/edwinin01-mcp-rag-assistant  
JSON: https://api.skillsregistry.net/v1/skills/edwinin01-mcp-rag-assistant

## Description

Provides RAG-based knowledge retrieval and document management as MCP tools, supporting hybrid search, reranking, and retrieval process visualization.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dz8ghxp1c5)
- **Repository:** <https://github.com/EdwinIN01/mcp-rag-assistant>

## 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": "edwinin01-mcp-rag-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edwinin01-mcp-rag-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edwinin01-mcp-rag-assistant/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