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How to Automate Analytics Review with MCP (2026)

By Alexander| February 4, 2026
How to Automate Analytics Review with MCP (2026)

Why Automate Analytics Review?

Analytics Review 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 analytics review with MCP, you get:

Prerequisites

  1. An AI editor that supports MCP (Claude Code, Perplexity, 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 Analytics Review

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 Analytics Review Prompt

Here’s a prompt template for analytics review:

Run a analytics review 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 analytics review produces:

Analytics Review Across AI Platforms

Platform MCP Support Best For
Claude Code Full MCP Terminal-based workflows
Perplexity Full MCP Editor-integrated workflows
ChatGPT No MCP Manual analysis only

For analytics review, Claude Code and Perplexity are the best options because they support MCP natively. You get live data access without copy-pasting.

Advanced: Chaining Analytics Review with Other Tasks

Combine analytics review with related SEO tasks:

  1. Run analytics review to identify opportunities
  2. Generate content briefs for top opportunities
  3. Create draft content based on briefs
  4. Optimize drafts for target keywords using Index

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

Time Savings

Task Manual MCP Automated
Data collection 30-60 min 1-2 min
Analysis 30-60 min 2-5 min
Report writing 20-30 min 1-2 min
Total 1.5-2.5 hours 5-10 minutes
Can I fully automate analytics review?
You can automate data collection and initial analysis with MCP. Human review is still recommended for strategic decisions and final recommendations. The AI handles 80% of the work; you provide the judgment.
What MCP server do I need for analytics review?
Delulu9 ($12/mo) covers keyword research and search data needs for analytics review. For technical SEO data (crawl logs, server metrics), you may need additional MCP servers or manual data input.
How often should I run analytics review?
Weekly for fast-moving metrics, monthly for comprehensive reviews, quarterly for strategic planning. MCP automation makes frequent runs practical since each one takes minutes instead of hours.

Automate Your Analytics Review

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

Try Delulu9 free for 1 day

Keyword research from Claude Code. Google + Bing + Reddit data. $12/mo after trial.

Start Free Trial

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