Xenfra Model Context Protocol (MCP) Server - Deploy to DigitalOcean with AI-powered diagnosis.
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# Xenfra MCP Server (The Bridge) 🧠 [](https://pypi.org/project/xenfra-mcp-server/) [](https://opensource.org/licenses/MIT) A **Model Context Protocol (MCP)** server that empowers AI agents (Claude Desktop, Cursor, Windsurf) to securely deploy, monitor, and debug infrastructure on Xenfra. **Philosophy: Tools as Skills.** We expose atomic, reliable infrastructure capabilities that LLMs can orchestrate. ## 🤖 Available Tools | Tool | Description | | :--------------------- | :--------------------------------------------------------- | | `xenfra_deploy` | Deploys the project in the current working directory. | | `xenfra_get_logs` | Fetches filtered, colorized logs for a deployment. | | `xenfra_get_status` | Retrieves real-time health metrics (CPU, RAM, Uptime). | | `xenfra_security_scan` | Scans codebase for 15+ types of secrets before deployment. | | `xenfra_list_projects` | Lists all active deployments and their IDs. | | `xenfra_context` | Dumps environment summary for "Why is it broken?" queries. | ## 📦 Installation & Configuration ### For Claude Desktop 1. Make sure you have `uv` installed. 2. Edit your config file: - **Mac**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` 3. Add Xenfra: ```json { "mcpServers": { "xenfra": { "command": "uvx", "args": ["xenfra-mcp-server"] } } } ``` 4. Restart Claude Desktop. Look for the 🔌 icon. ### For Custom Agents You can run the server directly via stdio: ```bash uvx xenfra-mcp-server ``` ## 🛠️ Usage Example **User**: "Deploy this app and check if it's healthy." **Agent (Using Xenfra MCP)**: 1. Calls `xenfra_security_scan` -> "No secrets found." 2. Call…
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