Is io.github.houtini-ai/fanout safe to use?

io.github.houtini-ai/fanout has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.houtini-ai/fanout?

io.github.houtini-ai/fanout supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.houtini-ai/fanout do?

io.github.houtini-ai/fanout provides 1 tool: fanout:analyze_content_gap. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.houtini-ai/fanout?

io.github.houtini-ai/fanout is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.houtini-ai/fanout actively maintained?

io.github.houtini-ai/fanout is recently maintained — last commit was 32 days ago. It has 10 GitHub stars.

io.github.houtini-ai/fanout

@houtini/fanout-mcp

Multi-URL comparative content analysis with topical gap detection

10 49/wk 1 tool GitHub npm

No known CVEs

No license

Maintained

Last commit 32d ago

Works with most clients

Transport: stdio, sse, http

1 tool · ~372 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

Search Marketing

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "fanout": {
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-api03-your-key-here"
      },
      "args": [
        "-y",
        "@houtini/fanout-mcp@latest"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-houtini-ai-fanout)](https://mcppedia.org/s/io-github-houtini-ai-fanout)

Read me

What io.github.houtini-ai/fanout does

Advanced content gap analysis for the AI search era

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@houtini/fanout-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

83/100across 5 weighted dimensions

How we score →

0255075100

−17

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @houtini/fanout-mcp against OSV.dev.

Inventory

Tools (1)

Click any tool to inspect its schema.

~372 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.houtini-ai/fanout safe to use?: io.github.houtini-ai/fanout has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.houtini-ai/fanout?: io.github.houtini-ai/fanout supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.houtini-ai/fanout do?: io.github.houtini-ai/fanout provides 1 tool: fanout:analyze_content_gap. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.houtini-ai/fanout?: io.github.houtini-ai/fanout is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.houtini-ai/fanout actively maintained?: io.github.houtini-ai/fanout is recently maintained — last commit was 32 days ago. It has 10 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Search Marketing

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "fanout": {
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-api03-your-key-here"
      },
      "args": [
        "-y",
        "@houtini/fanout-mcp@latest"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-houtini-ai-fanout)](https://mcppedia.org/s/io-github-houtini-ai-fanout)

Read me

What io.github.houtini-ai/fanout does

Advanced content gap analysis for the AI search era

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@houtini/fanout-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

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 | What it does | Installation | How to use | Methodology | Features deep-dive | Parameters | Troubleshooting

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)

The fastest way to get started - no cloning or build

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

83/100across 5 weighted dimensions

How we score →

0255075100

−17

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @houtini/fanout-mcp against OSV.dev.

Inventory

Tools (1)

Click any tool to inspect its schema.

~372 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.houtini-ai/fanout safe to use?: io.github.houtini-ai/fanout has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.houtini-ai/fanout?: io.github.houtini-ai/fanout supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.houtini-ai/fanout do?: io.github.houtini-ai/fanout provides 1 tool: fanout:analyze_content_gap. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.houtini-ai/fanout?: io.github.houtini-ai/fanout is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.houtini-ai/fanout actively maintained?: io.github.houtini-ai/fanout is recently maintained — last commit was 32 days ago. It has 10 GitHub stars.