MCP + CLIs are becoming the standard bridge for AI agents into dev tooling
AI agents are rapidly standardizing on MCP and CLI-driven "skills" to safely control real tools, with new integrations from GitLab, ExpressVPN, Whop, and Vercel accelerating enterprise-ready workflows. GitLab’s Duo Agent Platform now acts as an MCP client, with a step-by-step guide to connect Jira via OAuth so agents can query and update issues directly from the IDE, keeping security and auditability intact ([GitLab tutorial](https://about.gitlab.com/blog/extend-gitlab-duo-agent-platform-connect-any-tool-with-mcp/)). ExpressVPN launched a local, opt-in MCP server that lets agents like Claude Code automate VPN tasks (status checks, region switching) under a strict no-log policy, reducing context switching for geo-specific testing and secure connectivity ([TechRadar coverage](https://www.techradar.com/vpn/vpn-services/expressvpn-just-gave-ai-agents-the-power-to-control-your-connection)). The ecosystem is broadening: Whop added an MCP server to let assistants manage store operations end-to-end ([Whop-MCP deep dive](https://forem.com/furkankoykiran/whop-mcp-the-ai-revolution-in-store-management-and-the-signalyze-vip-story-2ede)), Vercel Labs shipped a "skills" CLI to install reusable agent skills across tools like Claude Code and Cursor ([vercel-labs/skills](https://github.com/vercel-labs/skills)), and LangChain’s OpenRouter 0.1.0 surfaces cost details and streaming token usage for tighter observability in multi-model routing ([release notes](https://github.com/langchain-ai/langchain/releases/tag/langchain-openrouter%3D%3D0.1.0)). If you want a quick primer on why agents prefer text-first interfaces, this explainer is a good backdrop ([AI Agents LOVE CLIs](https://www.youtube.com/watch?v=-QznXY_pJvw&pp=ygUYQUkgY29kaW5nIGFnZW50IHdvcmtmbG93)).