SSH Session MCP

Install SSH Session MCP in your MCP client

SSH Session MCP is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add SSH Session MCP to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; SSH Session MCP's tools should appear.

{
  "mcpServers": {
    "ssh-session-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "ssh-session-mcp"
      ],
      "env": {
        "SSH_MCP_CONFIG": "<your-ssh-mcp-config>",
        "SSH_MCP_INSTANCE": "<your-ssh-mcp-instance>",
        "VIEWER_PORT": "<your-viewer-port>",
        "VIEWER_HOST": "<your-viewer-host>",
        "AUTO_OPEN_TERMINAL": "<your-auto-open-terminal>",
        "SSH_MCP_MODE": "<your-ssh-mcp-mode>",
        "SSH_MCP_LOCAL": "<your-ssh-mcp-local>",
        "SSH_MCP_DEBUG": "<your-ssh-mcp-debug>",
        "SSH_HOST": "<your-ssh-host>",
        "SSH_PORT": "<your-ssh-port>",
        "SSH_USER": "<your-ssh-user>",
        "SSH_PASSWORD": "<your-ssh-password>",
        "SSH_KEY": "<your-ssh-key>"
      }
    }
  }
}

npm package: ssh-session-mcp

Required environment variables

SSH Session MCP needs the following environment variables set before it can run. Add them to the env block of your mcpServers entry, or export them in your shell before launching the client.

• SSH_MCP_CONFIG
• SSH_MCP_INSTANCE
• VIEWER_PORT
• VIEWER_HOST
• AUTO_OPEN_TERMINAL
• SSH_MCP_MODE
• SSH_MCP_LOCAL
• SSH_MCP_DEBUG
• SSH_HOST
• SSH_PORT
• SSH_USER
• SSH_PASSWORD
• SSH_KEY

Transport

SSH Session MCP supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

More automate.devops.runbooks MCP servers

Other Model Context Protocol servers in the same space as SSH Session MCP. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

• Interminal

  Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.

• f5xc-terraform-mcp

  MCP server for F5 Distributed Cloud Terraform provider - documentation, 270+ OpenAPI specs, subscription info, and addon activation workflows for AI assistants

• Azure DevOps (ADO)

  The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.

• ssh-mcp

  MCP server for SSH operations with built-in diagnostics

• server

  Security, cost, and health governance proxy for MCP infrastructure — three-layer detection engine (regex + schema + LLM), monorepo, corpus, CI/CD

• k8scortex-mcp

  Kubernetes MCP server: 75 tools for GKE, AKS, EKS, RBAC, audit logging, GitOps, multi-cluster.

• recourse-cli

  MCP server for AI agents to evaluate consequences before destructive actions. Analyzes Terraform plans, shell commands, and MCP tool calls.

• Honey MCP Server

  Search instances across GCP, AWS, K8s, Consul & Proxmox

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.