# Random Advice Server

> Use this tool when you need to provide users with dynamic and varied guidance, and integrate context-aware recommendations into your applications. The Random Advice Server solves the problem of static advice by generating random suggestions through a simple API, accepting context data as input and producing relevant advice as output. It is ideal for use cases where engaging and assisting users with real-time guidance is crucial, such as chatbots, virtual assistants, or decision-support systems.

Canonical page: https://skillsregistry.net/skills/rftsngl-advicemcp  
JSON: https://api.skillsregistry.net/v1/skills/rftsngl-advicemcp

## Description

Provide users with random advice through a simple and accessible API. Integrate effortlessly with the Model Context Protocol to deliver dynamic, context-aware recommendations. Enhance your applications with real-time, varied advice to engage and assist users effectively.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rftsngl/advicemcp)

## 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": "rftsngl-advicemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rftsngl-advicemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rftsngl-advicemcp/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