TheNicheGap MCP Server

An official Model Context Protocol (MCP) server for TheNicheGap.

This server allows AI assistants (like Claude Desktop) to connect directly to TheNicheGap's real-time SEO analysis engine. Instead of relying on LLM hallucinations, your AI assistant can fetch real Google top-10 SERP data, analyze content gaps, and write highly differentiated SEO articles.

Features

• Real SERP Data: Fetches actual top-10 rankings for any given keyword.
• Content Gap Analysis: Identifies what the top-10 unanimously cover (Must-Haves) and what they miss (Gaps).
• Automated Outline: Returns an SEO-optimized H1/H2/H3 structure with CTR-optimized title suggestions.

Prerequisites

To use this MCP server, you need a TheNicheGap API Key.

1. Log in to your TheNicheGap Dashboard.
2. Generate an API Key in the Developer section.

Installation

For Claude Desktop

1. Open your Claude Desktop configuration file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add the TheNicheGap MCP Server to the mcpServers section:

{
  "mcpServers": {
    "thenichegap": {
      "command": "npx",
      "args": [
        "-y",
        "@thenichegap/mcp-server"
      ],
      "env": {
        "THENICHEGAP_API_KEY": "your_api_key_here"
      }
    }
  }
}

3. Restart Claude Desktop. You will now see a tool icon (hammer) in the Claude interface indicating that TheNicheGap tools are available.

Usage Examples

Once installed, you can simply ask Claude to use TheNicheGap:

• "Analyze the keyword 'best standing desk' using TheNicheGap. What are the content gaps?"
• "Call TheNicheGap for 'how to lose weight'. Based on the Must-Haves and Gaps it returns, write a complete 2000-word blog post for me."

Local Development (For Contributors)

1. Clone this repository.
2. Run npm install
3. Build the server: npm run build
4. Test locally using the MCP Inspector:

   THENICHEGAP_API_KEY=your_key_here npx @modelcontextprotocol/inspector node build/index.js

License

MIT