# etw-mcp

> Use this tool when you need to analyze Windows performance and troubleshooting data from WPR/ETW traces using natural language queries. It solves problems related to performance optimization, bug identification, and system debugging by providing features like auto-summary, CPU sampling, and DPC/ISR analysis. The tool takes .etl files as input and outputs detailed analysis and insights, making it ideal for use cases where quick and intuitive trace analysis is required.

Canonical page: https://skillsregistry.net/skills/nijosmsft-etw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nijosmsft-etw-mcp

## Description

Enables AI assistants to analyze Windows WPR/ETW traces (.etl files) using natural language queries, with features like auto-summary, CPU sampling, DPC/ISR analysis, and symbol resolution.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/segd1lj003)
- **Repository:** <https://github.com/nijosmsft/etw-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": "nijosmsft-etw-mcp"
    }
  }
}
```

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