Tag: AI

Chrome DevTools MCP

Chrome DevTools MCP is a powerful browser automation tool that allows AI assistants to directly interact with Chrome browsers. Through this MCP server, AI can:

Web Automation: Automatically click, fill forms, navigate pages, and perform other operations
Performance Analysis: Analyze web performance metrics, including Core Web Vitals
Debugging Support: Get console messages and network request information
Screenshot Functionality: Capture screenshots of web pages or specific elements
Element Interaction: Hover, drag, upload files, and other interactive operations

Ruochen ChenOctober 23, 2025About 2 min

Create MCP Server

# server.py
from mcp.server.fastmcp import FastMCP

# Create an MCP server
mcp = FastMCP("Demo")


# Add an addition tool
@mcp.tool()
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b


# Add a dynamic greeting resource
@mcp.resource("greeting://{name}")
def get_greeting(name: str) -> str:
    """Get a personalized greeting"""
    return f"Hello, {name}!"

if __name__ == "__main__":
    mcp.run(transport="stdio")

Ruochen ChenJune 5, 2025Less than 1 minute

MCP (Model Context Protocol)

MCP

Example MCP Server Configuration

Github, filesystem, and browser-tools-mcp

{
  "mcpServers": {
    "github.com/modelcontextprotocol/servers/tree/main/src/github": {
      "command": "node",
      "args": [
        "/Users/chenruochen/Documents/Cline/MCP/github/src/github/dist/index.js"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "token"   
      },
      "disabled": false,
      "autoApprove": []
    },
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/chenruochen/"
      ]
    },
    "browser-tools-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@agentdeskai/browser-tools-mcp@latest"
      ]
    }
  }
}

Ruochen ChenApril 20, 2025Less than 1 minute

AI API framework for Java

Spring AI vs. Langchain4J

Dimension	Spring AI	LangChain4j
Technology Stack Binding	Strongly dependent on the Spring ecosystem	No framework dependency, can be used independently
Applicable Scenarios	Rapid integration of Spring Boot applications with single models	Multi-model (dynamic model) platforms

Ruochen ChenApril 8, 2025About 3 min