# mcp-sandbox-server

> mcp-sandbox-server — enes-sakin-dev-mcp-sandbox-server-showcase. Use this tool when you need to provide a secure environment for AI agents to interact with a host system, allowing authenticated shell and file access to a sandbox host and restricted deployments to a production host. It solves problems related to secure deployment and testing of AI models, offering a safe gateway for deploying changes via forced SSH commands. The tool accepts authentication credentials and SSH commands as inputs and provides shell and file access as outputs.

Canonical page: https://skillsregistry.net/skills/enes-sakin-dev-mcp-sandbox-server-showcase  
JSON: https://api.skillsregistry.net/v1/skills/enes-sakin-dev-mcp-sandbox-server-showcase

## Description

Provides an AI agent with authenticated shell and file access to a sandbox host, plus a restricted gateway for safe deploys on a production host via forced SSH commands.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/or32qs1x2z)
- **Repository:** <https://github.com/enes-sakin-dev/mcp-sandbox-server-showcase>

## 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": "enes-sakin-dev-mcp-sandbox-server-showcase"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/enes-sakin-dev-mcp-sandbox-server-showcase` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/enes-sakin-dev-mcp-sandbox-server-showcase/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