# Spark EventLog MCP Server

> Use this tool when you need to analyze and optimize Apache Spark performance, as it provides comprehensive insights into event logs from various sources, offering metrics, monitoring, and automated recommendations through interactive HTML reports. It solves problems related to performance tuning, resource utilization, and shuffle optimization, making it ideal for Spark administrators and developers. By inputting event logs from S3, HTTP, or local sources, users can output detailed reports and recommendations for improvement.

Canonical page: https://skillsregistry.net/skills/yhyyz-spark-eventlog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yhyyz-spark-eventlog-mcp

## Description

Enables comprehensive analysis of Apache Spark event logs from S3, HTTP, or local sources, providing performance metrics, resource monitoring, shuffle analysis, and automated optimization recommendations with interactive HTML reports.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bngcb4hgqf)
- **Repository:** <https://github.com/yhyyz/spark-eventlog-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": "yhyyz-spark-eventlog-mcp"
    }
  }
}
```

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