# wandering-rag-mcp

> Use this tool when you need to perform semantic document searches or query knowledge bases using vector storage and text embedding. It solves problems related to information retrieval and document analysis by providing efficient search functionality. The tool takes in text-based queries as input and outputs relevant documents or knowledge base entries, making it ideal for use cases involving complex search and retrieval tasks.

Canonical page: https://skillsregistry.net/skills/mambo-wang-wandering-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mambo-wang-wandering-rag-mcp

## Description

A local RAG knowledge base MCP server that exposes semantic document search as tools using zvec for vector storage and Qwen3-Embedding for text embedding.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wxnhs1aod4)
- **Repository:** <https://github.com/mambo-wang/wandering-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": "mambo-wang-wandering-rag-mcp"
    }
  }
}
```

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