# Spark MCP Optimizer

> Use this tool when you need to optimize Apache Spark code for better performance, as it provides intelligent code optimization suggestions and performance analysis using Claude AI. It solves problems related to slow-running Spark jobs and inefficient code, taking in Spark code as input and outputting optimized code recommendations. Ideal for use when developing and tuning big data processing applications with Apache Spark.

Canonical page: https://skillsregistry.net/skills/vgiri2015-ai-spark-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vgiri2015-ai-spark-mcp-server

## Description

An MCP server that optimizes Apache Spark code using Claude AI, providing intelligent code optimization suggestions and performance analysis.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yahs1t8ra4)
- **Repository:** <https://github.com/vgiri2015/ai-spark-mcp-server>

## 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": "vgiri2015-ai-spark-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vgiri2015-ai-spark-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vgiri2015-ai-spark-mcp-server/pull`

---
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