# Facts By API Ninjas MCP Server

> Use this tool when you need to retrieve interesting facts for entertainment, education, or content generation purposes. It solves problems such as adding engaging trivia to applications or providing users with fun and unusual information. The tool takes a limit parameter as input and returns multiple random facts as output, making it ideal for use cases requiring a simple and flexible fact-fetching solution.

Canonical page: https://skillsregistry.net/skills/bach-ai-tools-facts-by-api-ninjas  
JSON: https://api.skillsregistry.net/v1/skills/bach-ai-tools-facts-by-api-ninjas

## Description

Enables users to retrieve random interesting facts from the Facts By API Ninjas API. It supports fetching multiple facts at once through a simple limit parameter via the Model Context Protocol.

## 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:** [Glama](https://glama.ai/mcp/servers/ucg4bqwq04)
- **Repository:** <https://github.com/BACH-AI-Tools/facts_by_api_ninjas>

## 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": "bach-ai-tools-facts-by-api-ninjas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bach-ai-tools-facts-by-api-ninjas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bach-ai-tools-facts-by-api-ninjas/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