# rag-db-advisor

> rag-db-advisor — kenimo49-rag-db-advisor. Use this tool when you need to select the optimal vector database backend for your project, as it provides evidence-based advice and benchmark comparisons through natural language queries, helping you navigate operational traps and make informed decisions. It takes in natural language questions and outputs tailored recommendations and comparisons of vector database backends. Ideal for use cases where database performance and reliability are critical, such as large-scale data analytics and machine learning applications.

Canonical page: https://skillsregistry.net/skills/kenimo49-rag-db-advisor  
JSON: https://api.skillsregistry.net/v1/skills/kenimo49-rag-db-advisor

## Description

This MCP server provides evidence-based advice on vector database backends by retrieving measured benchmarks and operational traps, enabling you to ask questions and compare backends through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nb17rghwcf)
- **Repository:** <https://github.com/kenimo49/rag-db-advisor>

## 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": "kenimo49-rag-db-advisor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenimo49-rag-db-advisor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenimo49-rag-db-advisor/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