# Cat Facts

> Use this tool when you need to access a vast repository of cat facts and information, solving problems such as entertaining or educating users about felines. It takes an API key as input and provides cat-related data as output, making it a simple yet effective solution for cat enthusiasts. Ideal for use cases where a fun fact or trivia about cats is required, such as in chatbots or virtual assistants.

Canonical page: https://skillsregistry.net/skills/opticayaan-cat-facts  
JSON: https://api.skillsregistry.net/v1/skills/opticayaan-cat-facts

## Description

Cat Facts MCP is a server implementation that provides access to cat facts through the Model Context Protocol. Built by Ayaan Gill, it connects to the Layer API service using a provided API key and exposes tools for retrieving cat-related information. The server runs on stdio transport, making it compatible with Claude Desktop integration, and includes error handling for failed API calls. It's designed to be a simple demonstration of how to build an MCP server with the @modelcontextprotocol/sdk package.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/opticayaan-cat-facts)
- **Repository:** <https://github.com/opticayaan/cat-facts-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": "opticayaan-cat-facts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opticayaan-cat-facts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opticayaan-cat-facts/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