Fanout MCP server

by houtini-ai·io.github.houtini-ai/fanout·v0.2.12·15 stars

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Multi-URL comparative content analysis with topical gap detection

A94/100grade A

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Safety scan

A94/100

full report

Adoption

Growing

15 stars211 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Fanout tools (1)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

analyze_content_gap
Perform advanced content gap analysis using Query Decomposition and Self-RAG techniques. Analyzes a URL to identify what user queries the content covers and what gaps exist.

Public scan report

scanner v0.1.10 · 2026-11-13 · same rubric, same numbers if you re-run it

no findings

Code scan22 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 3 days ago15/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How Fanout compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 94/100; higher than 96% of 48,114 servers
Tools: 1; the typical server has 7
Tools that change things: 0%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 15; more than 90% of 28,851 servers
Downloads a week: 211; more than 70% of 15,093 servers with a package

What its tools let an agent do: 1 read

Release history: 3 versions in the registry since 2026-01-29, latest 2026-10-24, typically one every 251 days.

Install Fanout in Claude Code, Cursor or VS Code

Runs npx -y @houtini/fanout-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add fanout -- npx -y @houtini/fanout-mcp

Add to Cursor

What the publisher says

From the Fanout repository's README, as published. We do not edit it. Read it on GitHub

Fan-Out MCP

Advanced content gap analysis for the AI search era

Analyze your content to discover what user queries it covers (and misses) using the same techniques AI search engines use internally.

Quick Navigation

Why This Matters

The problem: Traditional SEO focused on keywords and backlinks. AI search engines (ChatGPT, Perplexity, Gemini) don't work that way. They evaluate whether your content can answer user queries - across dozens of query variations you've probably never considered.

The solution: This MCP uses research-backed techniques from Google and academic papers to:

Decompose complex topics into the actual questions users ask
Generate query variations using Google's patented fan-out methodology
Assess whether your content can answer each query (with evidence)
Identify specific gaps and provide actionable recommendations

The result: Content optimized for Generative Engine Optimization (GEO) - answering the queries AI search engines need to cite your work.

What It Does

Three Analysis Modes

1. Content-Only Analysis (Default) Analyzes what questions your content naturally answers based on structure and topics.

Analyze https://your-site.com/article with standard depth

2. Hybrid Analysis (Content + Keyword Targeting) Combines content analysis with keyword-specific query variants. This is the power mode.

Analyze https://your-site.com/article with target_keyword "direct drive racing wheels"

Generates 15-25 query variants by default across 5 types:

Equivalent - "sim racing wheels", "racing simulator wheels"
Specification - "Fanatec DD Pro review", "8Nm direct drive wheel"
Follow-Up - "how to calibrate racing wheel", "mounting options"
Comparison - "Fanatec vs Thrustmaster", "belt drive vs direct drive"
Clarification - "what is direct drive technology", "how does FFB work"

3. Keyword-Only Analysis Focus purely on keyword variants, skip content inference (50% faster).

Analyze https://your-site.com/article with target_keyword "sim racing" and fan_out_only true

The Output

Interactive visual dashboard showing:

Coverage score (0-100) with specific gaps identified
Query-by-query assessment with evidence quotes
Prioritized recommendations (what to add/improve)
Technical metrics (quality scores, performance data)

Plus detailed markdown report with all data.

Installation

Prerequisites

Claude Desktop (or any MCP-compatible client)
Anthropic API key
Node.js 18+ (for local build only)

Quick Setup (Recommended)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

2026-11-13restoreB → Ascore 94

Fanout: common questions

Is Fanout MCP server safe?: Yes, by our scan: it is graded A (94/100). Read the Fanout safety report
How do I install Fanout?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Fanout need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Fanout maintained?: The last commit was 4 days ago (2026-11-11). The latest release is v0.2.12.
What can I use instead of Fanout?: Servers from other publishers that do the same job: TradingMCP MCP server.
How does Fanout compare with other MCP servers?: safety score 94/100 (higher than 96% of 48,114 servers); tools 1 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Fanout

Same job from other publishers: the closest match first, then the best rated.

TradingMCP
Market analysis for AI assistants: screeners, multi-timeframe analysis, backtests, in-chat charts.
not reviewed
Established
A