# PySpark MCP Server

> PySpark MCP Server — annasmazhar-pyspark-mcp. Use this tool when you need to optimize PySpark code, integrate with AWS Glue, or transpile SQL dialects for efficient data engineering tasks. It solves problems related to code performance, compatibility, and workflow integration, accepting PySpark code and SQL queries as inputs and producing optimized code and integrated workflows as outputs. Ideal for use in big data processing and cloud-based data engineering projects.

Canonical page: https://skillsregistry.net/skills/annasmazhar-pyspark-mcp  
JSON: https://api.skillsregistry.net/v1/skills/annasmazhar-pyspark-mcp

## Description

Assists with SQL dialect transpilation, PySpark code optimization, and AWS Glue integration for data engineering tasks.

## Trust

- **Trust score (0–1):** 0.07
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u9vvwgx0r4)
- **Repository:** <https://github.com/AnnasMazhar/pyspark_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "annasmazhar-pyspark-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/annasmazhar-pyspark-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/annasmazhar-pyspark-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt