# local-spark-mcp

> Use this tool when you need to run PySpark and SQL cells locally for data exploration and development, providing a stateful Spark session to test and refine workflows before deploying to Microsoft Fabric, accepting input data and code cells and outputting results and insights. It solves problems of local data testing and validation, reducing deployment errors and improving overall data pipeline efficiency. Ideal for data engineers and scientists working with Spark and SQL who require a local development environment.

Canonical page: https://skillsregistry.net/skills/methodify-local-spark-mcp  
JSON: https://api.skillsregistry.net/v1/skills/methodify-local-spark-mcp

## Description

Provides a stateful local Spark session for running PySpark and SQL cells, enabling local data exploration before deploying to Microsoft Fabric.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kqs5cel8sx)
- **Repository:** <https://github.com/methodify/local-spark-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": "methodify-local-spark-mcp"
    }
  }
}
```

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