# SSH-MCP

> SSH-MCP — harsh-2002-ssh-mcp. Use this tool when you need to securely connect AI agents to remote servers over SSH, enabling interaction and management of remote systems. It solves problems related to remote server access, automation, and version control through git integration. The tool accepts SSH credentials and git commands as inputs, providing secure access and outputting remote system information and execution results.

Canonical page: https://skillsregistry.net/skills/harsh-2002-ssh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/harsh-2002-ssh-mcp

## Description

MCP server for AI agents to connect and interact with remote servers over SSH.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Harsh-2002/SSH-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": "harsh-2002-ssh-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harsh-2002-ssh-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harsh-2002-ssh-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