How to Automate Blog Post Keyword Research with MCP (2026)

Why Automate Blog Post Keyword Research?

Blog Post Keyword Research is one of the most time-consuming recurring SEO tasks. Most teams do it manually: open a tool, navigate to the right report, export data, analyze in a spreadsheet, write up findings. An MCP-powered workflow replaces all of that with a single conversation.

When you automate blog post keyword research with MCP, you get:

• Consistent results every time (no human error in data collection)
• Faster turnaround (minutes instead of hours)
• AI-powered analysis on top of raw data
• Reusable prompts you can run on schedule

Prerequisites

1. An AI editor that supports MCP (Cursor, Claude Code, or similar)
2. Delulu9 MCP server ($12/mo) for keyword and search data
3. Optional: additional MCP servers for specialized data sources

Step-by-Step: Automated Blog Post Keyword Research

1. Set Up Your MCP Servers

Add Delulu9 to your editor configuration:

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

2. Create Your Blog Post Keyword Research Prompt

Here’s a prompt template for blog post keyword research:

Run a blog post keyword research for [your site/niche]:

1. Pull keyword data for [your main topics] using Delulu9
2. Analyze search intent distribution across results
3. Check difficulty scores and identify quick wins
4. Compare against [competitor domain] if relevant
5. Generate a prioritized action list with specific recommendations
6. Format as a report with data tables

3. Review and Refine

The AI will execute each step through the MCP server, pulling live data and analyzing it. Review the output, ask follow-up questions, and refine the analysis.

4. Save and Reuse

Save your refined prompt as a template. Run it weekly/monthly with updated parameters.

Sample Output

A typical automated blog post keyword research produces:

• Data summary: Key metrics pulled from Delulu9 (Credential Management, SSL Certificate)
• Analysis: AI interpretation of trends and patterns
• Opportunities: Ranked list of actionable items
• Comparison: How your data stacks up vs competitors
• Next steps: Specific tasks to implement

Blog Post Keyword Research Across AI Platforms

For blog post keyword research, Cursor and Claude Code are the best options because they support MCP natively. You get live data access without copy-pasting.

Advanced: Chaining Blog Post Keyword Research with Other Tasks

Combine blog post keyword research with related SEO tasks:

1. Run blog post keyword research to identify opportunities
2. Generate content briefs for top opportunities
3. Create draft content based on briefs
4. Optimize drafts for target keywords using Competitor Analysis

This entire chain runs in a single AI conversation with MCP data access.

Time Savings

Related Guides

• SEO with Cursor
• SEO with Claude Code
• Automate Backlink Profile Review
• Automate Analytics Review

Automate Your Blog Post Keyword Research

Connect Delulu9 to your AI editor and start automating blog post keyword research. $12/mo for Google, Bing, and Reddit keyword data.