# FutureSmart AI Demos

> FutureSmart AI Demos — com-aidemos-catalogue. Use this tool when you need to research and compare AI tools, or find evidence-backed reviews and rankings to inform your decision-making. It provides read-only access to a repository of AI tool reviews, use cases, and comparisons, helping you solve problems related to AI tool selection and optimization. Ideal for users seeking to make informed decisions about AI adoption and implementation.

Canonical page: https://skillsregistry.net/skills/com-aidemos-catalogue  
JSON: https://api.skillsregistry.net/v1/skills/com-aidemos-catalogue

## Description

Search evidence-backed AI-tool reviews, rankings, use cases, comparisons & toolkits (read-only).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.aidemos%2Fcatalogue)

## Use it

MCP endpoint published by the skill: `https://mcp.aidemos.com/mcp`

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": "com-aidemos-catalogue"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-aidemos-catalogue` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-aidemos-catalogue/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