What is the key difference between Kaggle MCP and Growthbook MCP?

Kaggle 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 Kaggle 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 Kaggle MCP and Growthbook MCP free or paid?

Kaggle MCP operates under a Free / Open Source model (API Key required). Growthbook MCP operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Kaggle MCP lists 2 tools with 4 views and 39 GitHub stars. Growthbook MCP lists 4 tools with 3 views and 24 GitHub stars.

Can I use both Kaggle 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

Kaggle MCP vs Growthbook MCP

In-depth architectural comparison of the Kaggle 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

Kaggle MCP

Data Science Tools · Local stdio

Quality: 47/100 (Fair) | Auth: API Key required

Growthbook MCP

Data Science Tools · Local stdio

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

Verdict Summary: Choose Kaggle 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 Kaggle 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: KAGGLE_USERNAME, KAGGLE_KEY.
Primary tools included: dataset_ref, download_path.

Explore Kaggle 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.
Primary tools included: .

Feature & Specification Comparison

Specification	Kaggle MCP arrismo Data Science Tools	Growthbook MCP growthbook Data Science Tools
Summary	Connects to Kaggle, ability to download and analyze datasets.	Tools for creating and interacting with GrowthBook feature flags and experiments.
Category & Scope	Data Science Tools

Tools & Capabilities Breakdown

Kaggle MCP Tools (2)

dataset_ref

Kaggle dataset reference in `owner/dataset-slug` format, for example `kaggle/titanic`.

download_path

Optional local output path. If omitted, files are saved to `./datasets/<dataset_slug>/`.

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).

growthbook_api_write

Make an authenticated mutating request (POST, PUT, PATCH, or DELETE) to the GrowthBook REST API. Use method + path (+ optional JSON body) exactly as shown in skill workflows that mention gb-call with those methods. Paths typically start with /api/v1/ or /api/v2/. Returns the raw response body on success. Mutates 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).

Kaggle MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "arrismo-kaggle-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "arrismo-kaggle-mcp"
      ],
      "env": {
        "KAGGLE_USERNAME": "YOUR_KAGGLE_USERNAME_HERE",
        "KAGGLE_KEY": "YOUR_KAGGLE_KEY_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

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

More alternatives to Kaggle MCP More alternatives to Growthbook MCP Data Science Tools category hub