Best MCP Servers for Claude Code (Plus Cursor & Windsurf): The Must-Have List
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Best MCP servers for Claude Code, Cursor and Windsurf: GitHub, Context7, Playwright, Supabase, DeployHQ and more — with working install commands.
AI - DeployHQ Blog
AI-Driven Deployment: Automation and Insights: Discover practical applications of AI in automating your deployments and gaining valuable insights into your release process.
Agentic Workflows Explained: How AI Agents Are Changing CI/CD Pipelines
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AI coding agents have moved beyond your terminal. GitHub's Copilot Coding Agent and similar tools now run inside CI/CD pipelines — triaging bugs, writing fixes, and opening pull requests automatically. Here's what agentic workflows actually look like, how to set them up, and where deployment fits in.
6 Developer CLIs That AI Coding Agents Actually Use Well
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The best CLIs for AI coding agents share one trait: structured, predictable output. Here are six tools — from GitHub CLI to Terraform — that consistently deliver the best results when paired with Claude Code, Codex, and Gemini CLI.
CLIs or MCP for Coding Agents? A Practical Comparison
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AI coding agents connect to external tools through CLIs and MCP — but the two approaches differ in output structure, context efficiency, security, and discoverability. Here's when to use each, and why the best setup combines both.
OpenClaw Skills: How to Find, Install, and Build Your Own
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OpenClaw Skills are the plugin system that turns a self-hosted AI assistant into a workflow automation engine. Learn how to find skills in the ClawHub registry, install them on your VPS, and build a custom skill from scratch to automate a repetitive task.
CLAUDE.md, AGENTS.md & Copilot Instructions: Configure Every AI Coding Assistant
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Configure Claude Code, Codex, Cursor, Copilot, Gemini, and Windsurf with AGENTS.md and CLAUDE.md that actually work — no auto-generated bloat.
How to Install OpenClaw on a VPS: Nginx, SSL & Gateway Auth
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Install OpenClaw on an Ubuntu 24.04 VPS: the Node 24.16+ runtime floor, loopback gateway, Nginx + SSL, and the token auth most guides skip.
AI Code Review as Your Last Line of Defense Before Deployment
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Catch security vulnerabilities, N+1 queries, and misconfigurations before they hit production. Learn how to integrate AI code review into your deployment pipeline.
The Rise of Conversational Deployments: Will We Deploy with Natural Language?
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What if deploying to production was as simple as asking? Explore how LLMs, MCP, and contextual AI are turning deployment from a checklist into a conversation — and what developers can do to prepare.
What Is Context7? Live Docs That Stop AI Coding Hallucinations
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What Context7 is, how it feeds live library docs to your AI coding assistant, and when to reach for it — so you stop debugging hallucinated APIs.
AI-Powered Deployment Troubleshooting: From Error Logs to Fixes in Seconds
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Failed web deployments produce cryptic error logs that take hours to diagnose. AI tools like Claude and ChatGPT can analyse deployment logs, identify root causes, and suggest specific fixes in seconds. Includes ready-to-use prompt templates for SSH failures, build errors, and post-deploy crashes.
MCP and the Future of AI-Integrated DevOps Tools
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Understand the Model Context Protocol (MCP) and why it matters for connecting AI assistants to deployment platforms. Technical deep-dive with code examples.