What is the key difference between Jupyter Notebook MCP and Growthbook MCP?

Jupyter Notebook MCP belongs to the Data Science Tools category with local stdio execution, while Growthbook MCP belongs to the Data Science Tools category with local stdio execution.

How do I install Jupyter Notebook MCP or Growthbook MCP in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Jupyter Notebook MCP and Growthbook MCP free or paid?

Jupyter Notebook MCP operates under a Free / Open Source model (No auth required). Growthbook MCP operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Jupyter Notebook MCP lists 5 tools with 3 views and 130 GitHub stars. Growthbook MCP lists 4 tools with 3 views and 24 GitHub stars.

Can I use both Jupyter Notebook MCP and Growthbook MCP together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Jupyter Notebook MCP vs Growthbook MCP

In-depth architectural comparison of the Jupyter Notebook MCP and Growthbook 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.

At a Glance & Executive Verdict

Jupyter Notebook MCP

Data Science Tools · Local stdio

Quality: 45/100 (Fair) | Auth: No auth required

Growthbook MCP

Data Science Tools · Local stdio

Quality: 67/100 (Great) | Auth: API Key required

Verdict Summary: Choose Jupyter Notebook MCP if you need specialized Data Science Tools tools running via a local process. Choose Growthbook MCP if your workspace requires Data Science Tools integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

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.

Explore Jupyter Notebook MCP Details

Choose Growthbook MCP 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 (Free / Open Source).
You have access to required keys: GB_API_KEY, GB_API_URL, GB_MCP_TRANSPORT, GB_MCP_PORT, GB_MCP_HOST, GB_MCP_URL, GB_OAUTH_ISSUER, GB_SKILLS_ENABLED.

Feature & Specification Comparison

Specification	Jupyter Notebook MCP jjsantos01 Data Science Tools	Growthbook MCP growthbook Data Science Tools
Summary	connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.	Tools for creating and interacting with GrowthBook feature flags and experiments.
Category & Scope	Data Science Tools

Tools & Capabilities Breakdown

Jupyter Notebook MCP Tools (5)

WebSocket bridge between Jupyter and MCP

Cell insertion, editing, and execution

Notebook inspection and saving

Text and image output retrieval

Cell slideshow type management

Growthbook MCP Tools (4)

growthbook_api_read

Make an authenticated GET request to the GrowthBook REST API. Use path (+ optional query string) exactly as shown in skill workflows that mention gb-call GET. Paths typically start with /api/v1/ or /api/v2/. Returns the raw response body on success. Queries the GrowthBook REST API — see https://docs.growthbook.io/api (OpenAPI: https://api.growthbook.io/api/v1/openapi.yaml).

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).

Jupyter Notebook MCP Configuration

mcpServers (Claude Desktop / Cursor)

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

Growthbook MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "growthbook-growthbook-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@growthbook/mcp"
      ],
      "env": {
        "GB_API_KEY": "YOUR_GB_API_KEY_HERE",
        "GB_API_URL": "YOUR_GB_API_URL_HERE",
        "GB_MCP_TRANSPORT": "YOUR_GB_MCP_TRANSPORT_HERE",
        "GB_MCP_PORT": "YOUR_GB_MCP_PORT_HERE",
        "GB_MCP_HOST": "YOUR_GB_MCP_HOST_HERE",
        "GB_MCP_URL": "YOUR_GB_MCP_URL_HERE",
        "GB_OAUTH_ISSUER": "YOUR_GB_OAUTH_ISSUER_HERE",
        "GB_SKILLS_ENABLED": "YOUR_GB_SKILLS_ENABLED_HERE"
      }
    }
  }
}

Frequently Asked Questions

Jupyter Notebook MCP is categorized under Data Science Tools and uses a local stdio subprocess. In contrast, Growthbook MCP belongs to Data Science Tools using local stdio subprocess. Select Jupyter Notebook MCP when you need capabilities focused on data science tools and Growthbook MCP when you require tools for data science tools.

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