webvizio/mcp

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本页由 AI 翻译，技术细节请以原文为准。查看原文

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Repository Install

webvizio/mcp 是从 https://github.com/webvizio/mcp. 导入的 MCP 服务器候选服务器。

概览

webvizio/mcp 是从 https://github.com/webvizio/mcp. 导入的 MCP 服务器候选服务器。

概述（AI 翻译）

Webvizio 简化了终端用户、非技术团队和开发者之间的沟通。

我们易用的浏览器扩展让你可以直接在网页上捕捉视觉反馈和错误报告。然后它会自动收集所有相关数据，并将其转化为可操作、具上下文丰富的开发任务，供你的AI编码代理使用。

从非技术性的产品反馈到几秒钟内获得无错误的代码，而非几天。点击这里了解更多关于开发者Webvizio的信息。

Webvizio MCP 服务器

基于TypeScript的模型上下文协议（MCP）服务器，提供安全且结构化的Webvizio API访问。该服务器使MCP客户端能够通过标准化界面无缝与Webvizio项目和开发任务交互。

Webvizio MCP 服务器——自动将网站和网页应用的反馈和错误报告转化为可操作、具上下文丰富的开发者任务。直接交付您的 AI 编码工具，Webvizio MCP 服务器确保您的 AI 代理拥有快速且准确地解决问题所需的全部数据。

📋 可用工具

工具	方法	描述

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

About Webvizio

Webvizio streamlines communication between end-users, non-technical teams, and developers.

Our easy-to-use browser extension lets you capture visual feedback and bug reports directly on a web page. It then automatically gathers all relevant data and converts it into actionable, context-enriched development tasks for your AI coding agents.

From non-technical product feedback to bug-free code in seconds, not days. Learn more about Webvizio for developers here.

Webvizio MCP Server

A TypeScript-based Model Context Protocol (MCP) server that provides secure and structured access to the Webvizio API. This server enables MCP clients to seamlessly interact with Webvizio projects and development tasks through a standardized interface.

Webvizio MCP Server - Automatically converts feedback and bug reports from websites and web apps into actionable, context-enriched developer tasks. Delivered straight to your AI coding tools, the Webvizio MCP Server ensures your AI agent has all the data it needs to solve tasks with speed and accuracy.

📋 Available Tools

Tool	Method	Description
`get_projects`	GET	Fetch all available Webvizio projects
`get_current_project`	GET	Get details of the currently selected project
`set_project`	POST	Set the current Webvizio project to work with the project tasks
`get_tasks`	GET	Get the list of open tasks assigned to a user
`get_task_description`	GET	Get the task description
`get_task_prompt`	GET	Get an AI prompt to execute the task
`get_task_error_logs`	GET	Get the task error logs
`get_task_console_logs`	GET	Get the task console logs
`get_task_network_logs`	GET	Get the task network logs
`get_task_action_logs`	GET	Get the task action logs (Repro steps)
`get_task_screenshot`	GET	Get the task screenshot
`close_task`	POST	Set task in Webvizio to Done status

🛠 Installation

Make sure you have Node.js 18 (or a higher version) installed on your device.

Copy the MCP server configuration code to the mcpServers section of your AI Client configuration file.

"webvizio": {
   "command": "npx",
   "args": [
      "-y",
      "@webvizio/mcp-server"
   ],
   "env": {
      "WEBVIZIO_API_KEY": ""
   }
}

Generate and copy the API key for the MCP server on the AI Settings page https://app.webvizio.com/profile/ai
Insert the API key into the WEBVIZIO_API_KEY environment variable.
Save the changes.
Done. Your MCP server is configured and ready to work.

🚀 Usage

Open your IDE’s chat (e.g., agent mode in Cursor or Cascade in Windsurf).

在 GitHub 查看完整 README

安装

npx -y @webvizio/mcp-server

新手？先看 mcpskill.org 教程 →