What is the key difference between Pyspark Mcp and Mcp Server Duckdb?

Pyspark Mcp belongs to the Databases category with local stdio execution, while Mcp Server Duckdb belongs to the Databases category with local stdio execution.

How do I install Pyspark Mcp or Mcp Server Duckdb 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 Pyspark Mcp and Mcp Server Duckdb free or paid?

Pyspark Mcp operates under a Free / Open Source model (No auth required). Mcp Server Duckdb operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Pyspark Mcp lists 0 tools with 0 views and 0 GitHub stars. Mcp Server Duckdb lists 3 tools with 2 views and 177 GitHub stars.

Can I use both Pyspark Mcp and Mcp Server Duckdb 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.

How do I install Pyspark Mcp or Mcp Server Duckdb in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Pyspark Mcp and Mcp Server Duckdb free to use, or do they require API keys?

Pyspark Mcp is listed under a Free / Open Source model with No auth required . Mcp Server Duckdb operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Pyspark Mcp and Mcp Server Duckdb at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both pyspark-mcp and ktanaka101-mcp-server-duckdb as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Pyspark Mcp has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Mcp Server Duckdb holds a Quality Score of 60 /100 ( Good ) with 2 views, 0 installs, and 177 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Pyspark Mcp vs Mcp Server Duckdb

In-depth architectural comparison of the Pyspark Mcp and Mcp Server Duckdb 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

Pyspark Mcp

Databases · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Mcp Server Duckdb

Databases · Local stdio

Quality: 60/100 (Good) | Auth: No auth required

Verdict Summary: Choose Pyspark Mcp if you need specialized Databases tools running via a local process. Choose Mcp Server Duckdb if your workspace requires Databases integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Pyspark Mcp when:

You need dedicated capabilities in the Databases domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Pyspark Mcp Details

Choose Mcp Server Duckdb when:

You need dedicated capabilities in the Databases domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: query, Input, Output.

Explore Mcp Server Duckdb Details

Feature & Specification Comparison

Specification	P Pyspark Mcp Databases	Mcp Server Duckdb ktanaka101 Databases
Summary	SQL to PySpark conversion, AWS Glue job generation, and Spark code optimization.	DuckDB database integration with schema inspection and query capabilities
Category & Scope	Databases	Databases
Quality signal

Tools & Capabilities Breakdown

Pyspark Mcp Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Mcp Server Duckdb Tools (3)

query

Execute any SQL query on the DuckDB database

Input

`query` (string) - Any valid DuckDB SQL statement

Output

Query results as text (or success message for operations like CREATE/INSERT)

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).

Pyspark Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "pyspark-mcp": {
      "command": "uvx",
      "args": [
        "pyspark-mcp"
      ]
    }
  }
}

Mcp Server Duckdb Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ktanaka101-mcp-server-duckdb": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

Frequently Asked Questions

Pyspark Mcp is categorized under Databases and uses a local stdio subprocess. In contrast, Mcp Server Duckdb belongs to Databases using local stdio subprocess. Select Pyspark Mcp when you need capabilities focused on databases and Mcp Server Duckdb when you require tools for databases.

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