# dos-mcp

> dos-mcp — rvdbijl-dos-mcp. Use this tool when you need to interact with and monitor a text-mode DOS system remotely, enabling control and observation of the system through a Python interface. It solves problems of accessing and managing legacy DOS systems, supporting use cases such as automation, testing, and debugging. The tool accepts keyboard input and captures screen output, providing a seamless interface for remote DOS system management.

Canonical page: https://skillsregistry.net/skills/rvdbijl-dos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rvdbijl-dos-mcp

## Description

Enables an MCP client to observe and control a text-mode DOS system via a Python bridge, supporting keyboard input and screen capture.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

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

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