Best MCP Server for Keyword Clustering (2026)

Why Use an MCP Server for Keyword Clustering?

Keyword Clustering traditionally requires switching between browser-based tools, spreadsheets, and your development environment. An MCP server eliminates that context switching by bringing keyword clustering data directly into your AI assistant.

Instead of copying data from Screaming Frog into a chat window, you ask Claude or Cursor to run the analysis. The MCP server fetches live data, and the AI interprets it in context. This is faster and produces better results because the AI sees the full picture.

Top MCP Options for Keyword Clustering

1. Delulu9 – Best for Keyword-Driven Keyword Clustering

Delulu9 is the most complete MCP server for keyword clustering when keywords are involved. It provides:

• Google, Bing, and Reddit keyword data in a single query
• Max Snippet classification built into every result
• Split Testing scoring for realistic opportunity assessment
• $12/mo flat rate with 1,000 requests/hour

For keyword clustering specifically, Delulu9 excels because it combines data sources that other tools keep separate. You get a unified view of keyword opportunities across search engines and Reddit discussions.

2. Community Wrappers for Dedicated Tools

If you need keyword clustering capabilities beyond keyword research (like Color Picker), community-built MCP wrappers for tools like Screaming Frog and DataForSEO can help. These wrap existing APIs but require separate subscriptions and more setup effort.

3. Custom MCP Servers

For advanced keyword clustering workflows, you can build a custom MCP server using the MCP SDK. This makes sense if you have proprietary data sources or need to combine multiple APIs into a single interface.

How to Set Up Keyword Clustering with MCP

Claude Code Setup

{
  "mcpServers": {
    "delulu9": {
      "command": "npx",
      "args": ["-y", "@delulu9/seo-mcp-server@latest"],
      "env": {
        "DELULU9_API_KEY": "your-api-key"
      }
    }
  }
}

Once connected, you can ask Claude:

• “Find keyword opportunities for keyword clustering”
• “Analyze keyword clustering data for my site”
• “Compare keyword clustering metrics across competitors”

Cursor Setup

Add the same configuration to Cursor’s MCP settings. The protocol is identical, so any MCP server that works in Claude Code also works in Cursor.

Keyword Clustering MCP Workflow Examples

Quick Keyword Clustering Check

Ask your AI assistant: “Run a quick keyword clustering check for [your domain/keyword]. Summarize the top findings.”

The MCP server fetches the data, and the AI presents actionable insights without you leaving your editor.

Deep Keyword Clustering Analysis

For thorough keyword clustering, chain multiple MCP queries:

1. Pull seed keywords for your niche
2. Analyze search intent distribution
3. Identify keyword gaps vs competitors
4. Generate a prioritized action list

This entire workflow happens in a single AI conversation.

Comparison: MCP vs Browser-Based Keyword Clustering

Related Guides

• Screaming Frog MCP Server
• DataForSEO MCP Server
• Search Console MCP Server
• MCP for Content Briefs
• MCP for Duplicate Content Detection

Start Doing Keyword Clustering with MCP

Delulu9 gives you a production-ready MCP server for keyword clustering with Google, Bing, and Reddit data. $12/mo, 2-minute setup.