MCP Server Duckdb vs Pyspark MCP

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

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

Feature & Specification Comparison

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

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": {
    "ktanaka101-mcp-server-duckdb": {
      "command": "uvx",
      "args": [
        "mcp-server-duckdb"
      ]
    }
  }
}

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

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