ssh-ide-mcp

# SSH IDE MCP **SSH MCP Server** — Connect to remote Linux servers via SSH, execute commands, manage files, run Python/Jupyter code — all through AI agent conversation. ## Features - 🔌 **SSH Connection** — Key or password auth, persistent sessions - 📋 **Command Execution** — Run any shell command on remote server - 📁 **File Operations** — Read, write, edit, delete, list, glob, upload, download - 🐍 **Python Execution** — Run Python code in any conda environment - 📓 **Jupyter Notebooks** — Read, edit, execute notebook cells with persistent state - 🖥️ **Environment Management** — List conda environments, switch Python versions - 🤖 **Universal MCP** — Works with Reasonix, Cursor, Claude Code, Codex, and any MCP client ## Installation ```bash pip install ssh-ide-mcp ``` ## Quick Start ### 1. Start MCP Server ```bash ssh-ide-mcp mcp ``` ### 2. Configure your AI Agent **Reasonix** (`.mcp.json` at project root): ```json { "ssh-ide-mcp": { "command": "ssh-ide-mcp", "args": ["mcp"], "env": {} } } ``` **Cursor** (`.cursor/mcp.json`): ```json { "mcpServers": { "ssh-ide-mcp": { "command": "ssh-ide-mcp", "args": ["mcp"] } } } ``` **Claude Code** (`~/.claude/settings.json` or `claude.json`): ```json { "mcpServers": { "ssh-ide-mcp": { "command": "ssh-ide-mcp", "args": ["mcp"] } } } ``` **Codex CLI** (add to your MCP config): ```json { "ssh-ide-mcp": { "command": "ssh-ide-mcp", "args": ["mcp"] } } ``` ### 3. Connect to your server Tell your AI agent: > "SSH connect to 192.168.1.100 as root, password: mypassword, workdir: /home/project" Or use key auth: > "SSH connect to 10.0.0.1 as deploy, key: ~/.ssh/id_rsa, workdir: /var/www" ## Available Tools (24 tools) | Category | Tools | |----------|-------| | **Connection** | `ssh_connect`, `ssh_disconnect`, `ssh_connections`, `ssh_save_host`, `ssh_con…