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

Jupyter MCP Server 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 MCP Server 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 MCP Server and Growthbook MCP free or paid?

Jupyter MCP Server 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 MCP Server lists 6 tools with 2 views and 1,285 GitHub stars. Growthbook MCP lists 4 tools with 3 views and 24 GitHub stars.

Can I use both Jupyter MCP Server 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 MCP Server vs Growthbook MCP

In-depth architectural comparison of the Jupyter MCP Server 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 MCP Server

Data Science Tools · Local stdio

Quality: 48/100 (Fair) | Auth: No auth required

Growthbook MCP

Data Science Tools · Local stdio

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

Verdict Summary: Choose Jupyter MCP Server 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 MCP Server 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).
You have access to required keys: JUPYTER_MCP_SERVER_PORT, JUPYTER_MCP_SERVER_HOST, JUPYTER_MCP_LOG_LEVEL.
Primary tools included: Real-time notebook change tracking, Context-aware code execution and feedback, Support for images, plots, and text outputs.

Explore Jupyter MCP Server 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: .

Feature & Specification Comparison

Specification	Jupyter MCP Server datalayer Data Science Tools	Growthbook MCP growthbook Data Science Tools
Summary	Model Context Protocol (MCP) Server for Jupyter.	Tools for creating and interacting with GrowthBook feature flags and experiments.
Category & Scope	Data Science Tools

Tools & Capabilities Breakdown

Jupyter MCP Server Tools (6)

Real-time notebook change tracking

Context-aware code execution and feedback

Support for images, plots, and text outputs

Multi-notebook and multi-kernel management

JupyterLab automatic notebook opening

OpenTelemetry-based observability and tracing

Growthbook MCP Tools (4)

growthbook_api_read

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 MCP Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "datalayer-jupyter-mcp-server": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ],
      "env": {
        "JUPYTER_MCP_SERVER_PORT": "YOUR_JUPYTER_MCP_SERVER_PORT_HERE",
        "JUPYTER_MCP_SERVER_HOST": "YOUR_JUPYTER_MCP_SERVER_HOST_HERE",
        "JUPYTER_MCP_LOG_LEVEL": "YOUR_JUPYTER_MCP_LOG_LEVEL_HERE"
      }
    }
  }
}

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 MCP Server 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 MCP Server when you need capabilities focused on data science tools and Growthbook MCP when you require tools for data science tools.

More alternatives to Jupyter MCP Server More alternatives to Growthbook MCP Data Science Tools category hub