mcp-AI-playwright-template

mcp-AI-playwright-template

A template for building a custom Playwright MCP server that enables AI-driven browser automation, translating high-level test intentions into dynamic Playwright actions.

Category
访问服务器

README

This project is set up to debug with LOCAL AI

This is in sync with C:\MCP_BDC\mcpServer-Playwright-templateV8 on author's hard drive.


Custom MCP-Playwrght Server

Architecture Overview and Configuration

High-level test cases are processed by the AI and translated into structured JSON commands that are natively understood by the Model Context Protocol (MCP) server.

Underlying Language Model: The project leverages the Phi-3 Mini LLM for this translation layer.

Client Requirements: The MCP-aware AI client (in this architecture, the Playwright MCP server itself) requires a specific configuration file to establish communication.

Configuration File Path

Ensure the configuration file is present at the following location, replacing {userName} with your local system username:

C:\Users{userName}.config\mcp\clients\playwright-mcp-config.json This file tells the MCP server to expect you calls from:

{  
  "servers": {  
    "playwright-mcp": {  
      "command": "node",  
      "args": ["./mcp/server.js"],  
      "env": {  
        "NODE_ENV": "development"  
      }  
    }  
  }  
}  

Compiling TypeScript Files to Distinct Target Directories

To compile TypeScript (.ts) source files into JavaScript (.js) and distribute them to specific target directories, you can leverage dedicated TypeScript configuration files (e.g., tsconfig.*.json).

Run the standard project build script

npm run build

Compile using a specific TypeScript configuration target

npx tsc -p tsconfig.prompts.json

In another window verify if ollama is installed

DOS PROMPT>>>ollama list

possibly it is scheduled to start on boot

DOS PROMPT>>>tasklist | findstr ollama

verify if it is running

DOS PROMPT>>>>curl http://localhost:11434/api/tags

If not start Phi-3::

DOS PROMPT>>>ollama run phi3

It it is expected to fail in GitHub Action Workflow every time. To run other AI's you need to replace the code below

   async function callOllama(prompt) {
     const response = await axios.post("http://localhost:11434/api/generate", {
       model: "phi3",
       prompt: prompt,
       stream: false
     });
RUN RESULT:  
TOOL RECEIVED: close_browser  
ARGS: undefined  
=======================    
[close_browser] Closing browser  
[close_browser] Page closed  
[close_browser] Browser closed  
  
========================  
📊 TEST SUMMARY  
========================  
Test 1: ✅ PASS - BDC Entrepreneur support   
Test 2: ✅ PASS - BDC reCAPTCHA Link must be present  
Test 3: ✅ PASS - BDC Should Not Contain a string MakunaimaRA  
Test 4: ❌ FAIL - BDC must contain string 'Warszwa'  
Test 5: ✅ PASS - BDC must contain string 'Solutions'  
============================================================  
Total: 4/5 tests passed  
TOTAL TIME: 116572ms  
============================================================
##  Test cases are re-defined by AI ( Phi-3-mini )   but they are  not truly plain English.  
For example:  
[STDIN] {"method":"tools/call","params":{"name":"search_text","arguments":{"text":"Warszwa"}},"jsonrpc":"2.0","id":15}  

is constructed from :  
{  
  "id": 4,  
  "question": "Is the text 'Warszwa' present on the BDC website?",  
  "description": "BDC must contain string 'Warszwa'",  
  "baseUrl": "https://www.bdc.ca/fr",  
  "expectation": "should-contain",  
  "searchTerm": "Warszwa"  
}  

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选