MCP Analytics vs Jupyter Notebook MCP

In-depth architectural comparison of the MCP Analytics and Jupyter Notebook MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose MCP Analytics when:

• You need dedicated capabilities in the Data Science Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• You have access to required keys: MCP_ANALYTICS_API_KEY.
• Primary tools included: create_analysis, build_status, run_analysis.

Explore MCP Analytics Details

Choose Jupyter Notebook MCP when:

• You need dedicated capabilities in the Data Science Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: WebSocket bridge between Jupyter and MCP, Cell insertion, editing, and execution, Notebook inspection and saving.

Feature & Specification Comparison

Specification	MCP Analytics embeddedlayers Data Science Tools	Jupyter Notebook MCP jjsantos01 Data Science Tools
Summary	Statistical analysis, forecasting, and ML for business data (Shopify, Stripe, WooCommerce, eBay, GA4, Search Console). Upload a CSV or connect live data sources — ask a question in Claude or Cursor, get an interactive HTML report.	connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
Category & Scope

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "embeddedlayers-mcp-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp-analytics/mcp-analytics"
      ],
      "env": {
        "MCP_ANALYTICS_API_KEY": "YOUR_MCP_ANALYTICS_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "jjsantos01-jupyter-notebook-mcp": {
      "command": "uvx",
      "args": [
        "seaborn"
      ]
    }
  }
}

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