DevServer MCP

Overview

DevServer MCP is a lightweight yet powerful Model Context Protocol server designed to streamline the management of multiple development environments within AI‑assisted workflows. It solves a common pain point for developers: juggling several local servers—backend, frontend, workers, or testing services—while keeping an AI assistant informed and in control. By exposing a unified MCP interface, the server lets LLMs query status, start or stop services, and stream logs in real time, eliminating the need to switch between terminal windows or manually orchestrate processes.

The core value lies in its seamless integration with the MCP ecosystem. Developers can configure each server once in a declarative YAML file, then let an LLM invoke tools such as or . The server’s TUI provides an interactive, real‑time dashboard that displays process output and allows manual toggling of services. This tight coupling between the assistant, the MCP protocol, and the TUI means a single command can spin up a full stack, run tests, or restart services after code changes—all while the AI remains contextually aware of the current state.

Key capabilities include:

• Process Management: Declaratively start, stop, and monitor arbitrary command‑line services with optional auto‑start.
• Rich TUI: An interactive terminal interface that streams logs live, enabling developers to observe server output without leaving the console.
• Browser Automation: Experimental Playwright integration lets the assistant launch browsers, run end‑to‑end tests, or scrape data as part of a workflow.
• LLM Integration: Full MCP support means any tool‑enabled LLM—Claude, Gemini CLI, or others—can interact programmatically with the server, making it a first‑class citizen in AI‑driven devops pipelines.

Real‑world scenarios where DevServer MCP shines include continuous integration setups that need to spin up a local stack for testing, rapid prototyping where an assistant can auto‑restart services after code changes, or automated QA cycles that combine Playwright tests with server state checks. Its experimental browser automation further opens the door to end‑to‑end testing directly from an AI prompt.

Because it is built around MCP, DevServer integrates effortlessly into existing AI workflows. A developer can add the server to their VS Code MCP configuration, or register it with Claude’s command. Once registered, the assistant can call server‑management tools or query logs without any additional plumbing. This plug‑and‑play nature, coupled with its open‑source, LLM‑written codebase, makes DevServer MCP a standout choice for teams looking to fuse local development environments with intelligent assistants.