# Windows Terminal

> Use this tool when you need to automate Windows command line tasks or integrate AI models with the Windows terminal environment. It provides a standardized interface to write commands, read terminal output, and send control characters, enabling programmatic access to Windows terminal operations. Ideal for AI-driven automation tasks, it allows for seamless interaction with the Windows command line interface.

Canonical page: https://skillsregistry.net/skills/capecoma-winterm  
JSON: https://api.skillsregistry.net/v1/skills/capecoma-winterm

## Description

WinTerm MCP is a server that enables AI models to interact with the Windows command line interface through standardized tools. It provides functionality to write commands, read terminal output, and send control characters, allowing for programmatic access to Windows terminal operations. This implementation is particularly useful for AI-driven automation tasks and integrations that require direct interaction with the Windows command line environment.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/capecoma-winterm)
- **Repository:** <https://github.com/capecoma/winterm-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": "capecoma-winterm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/capecoma-winterm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/capecoma-winterm/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