# MCPServe

> MCPServe — ruska-ai-mcpserve. Use this tool when you need to create a simple server with shell execution capabilities, solving problems such as remote command execution and local development testing. It takes input through shell commands and outputs execution results, with options for local or hosted deployment via Docker container. Ideal for use cases requiring secure, tunnelled access to a local server or automated testing environments.

Canonical page: https://skillsregistry.net/skills/ruska-ai-mcpserve  
JSON: https://api.skillsregistry.net/v1/skills/ruska-ai-mcpserve

## Description

A simple MCP Server with shell execution capabilities that can be run locally with Ngrok tunneling or hosted in an Ubuntu 24 Docker container.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-13

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f9zo2a7w33)
- **Repository:** <https://github.com/mifunedev/mcp-sse>

## 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": "ruska-ai-mcpserve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ruska-ai-mcpserve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ruska-ai-mcpserve/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