MCP Mysql Server vs Pyspark MCP

In-depth architectural comparison of the MCP Mysql Server 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 Mysql Server when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: other (Free / Open Source).
• You have access to required keys: MYSQL_HOST, MYSQL_USER, MYSQL_PASSWORD, MYSQL_DATABASE.
• Primary tools included: Parameterized SELECT queries, INSERT, UPDATE, and DELETE execution, Table listing and schema inspection.

Explore MCP Mysql Server 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 Mysql Server f4ww4z Databases	Pyspark MCP Databases
Summary	Node.js-based MySQL database integration that provides secure MySQL database operations	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": {
    "f4ww4z-mcp-mysql-server": {
      "command": "npx",
      "args": [
        "-y",
        "@f4ww4z/mcp-mysql-server"
      ],
      "env": {
        "MYSQL_HOST": "YOUR_MYSQL_HOST_HERE",
        "MYSQL_USER": "YOUR_MYSQL_USER_HERE",
        "MYSQL_PASSWORD": "YOUR_MYSQL_PASSWORD_HERE",
        "MYSQL_DATABASE": "YOUR_MYSQL_DATABASE_HERE"
      }
    }
  }
}

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

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