Fan Out Query

v0.2.6Search & Data Extractionstable

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 A

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What is Fan Out Query?

Fan Out Query is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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 acad...

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 A

This server falls under the Search & Data Extraction and Analytics categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Advanced content gap analysis using Query Decomposition and

Use Cases

Analyze content gaps using query decomposition methodology.
Identify what user queries your content covers.
houtini-ai

Maintainer

LicenseApache 2.0
Languagetypescript
Versionv0.2.6
UpdatedJan 29, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y @houtini/fanout-mcp

Manual Installation

npx -y @houtini/fanout-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Fan Out Query

What is Fan Out Query?

Fan Out Query is a Model Context Protocol (MCP) server that 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 a It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Fan Out Query?

Install via npm with the command: npx -y @houtini/fanout-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Fan Out Query?

Fan Out Query works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Fan Out Query free to use?

Yes, Fan Out Query is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "fan-out-query-mcp": { "command": "npx", "args": ["-y", "@houtini/fanout-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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