# Fan Out Query MCP

> Use this tool when you need to analyze content gaps and identify user queries that your content covers or misses. The Fan Out Query MCP utilizes Query Decomposition and Keyword Fan-Out to provide advanced insights, helping you optimize your content for better search engine evaluation. It takes in content data and outputs detailed query coverage analysis, making it ideal for content creators and SEO specialists looking to improve their content's visibility and relevance.

Canonical page: https://skillsregistry.net/skills/houtini-ai-fan-out-query-mcp  
JSON: https://api.skillsregistry.net/v1/skills/houtini-ai-fan-out-query-mcp

## Description

Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yub6yhvfyq)
- **Repository:** <https://github.com/houtini-ai/fanout-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": "houtini-ai-fan-out-query-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/houtini-ai-fan-out-query-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/houtini-ai-fan-out-query-mcp/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