# MCPServe

> Use this tool when you need to create a simple server with shell execution capabilities, solving problems related to remote command execution and local development testing. It accepts input via shell commands and outputs execution results, with options for local connection via Ngrok or hosting in an Ubuntu24 Docker container. Ideal for use cases requiring secure and isolated server testing and development environments.

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

## Description

A simple MCP Server with Shell Execution capabilities that can be connected to locally via Ngrok or hosted in an Ubuntu24 Docker container.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/usn7b0vd4h)
- **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-mcp-sse"
    }
  }
}
```

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