# mcp-stratz

> mcp-stratz — pipeworx-io-mcp-stratz. Use this tool when you need to manage and analyze Dota 2 strategies, as it provides a structured approach to understanding game plans and tactics, solving problems related to team coordination and strategy optimization. It takes in Dota 2 match data and strategy inputs, outputting actionable insights and recommendations. Ideal for use in competitive gaming contexts where data-driven decision making is crucial.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-stratz  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-stratz

## Description

STRATZ Dota 2 MCP.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-stratz)

## 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": "pipeworx-io-mcp-stratz"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-stratz` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-stratz/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