Stella MCP vs Jupyter Notebook MCP

In-depth architectural comparison of the Stella MCP 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 Stella 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: create_model, build_model, add_variables.

Explore Stella MCP 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.

Explore Jupyter Notebook MCP Details

Feature & Specification Comparison

Specification	Stella MCP bradleylab Data Science Tools	Jupyter Notebook MCP jjsantos01 Data Science Tools
Summary	Create, read, validate, and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling.	connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
Category & Scope	Data Science Tools

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": {
    "bradleylab-stella-mcp": {
      "command": "uvx",
      "args": [
        "stella-mcp"
      ]
    }
  }
}

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

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