MCP 服务器

Webvizio MCP Server

Enables AI clients to interact with Webvizio projects and development tasks through a standardized interface. Provides access to task management, screenshots, logs, and project details for streamlined development workflows.

README

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_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": "<your-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).
Paste a link to a Webvizio task. Alternatively, you can ask the AI agent to display all your tasks.
Instruct the AI agent to execute the selected task.
The AI agent can request the use of tools to gather more information on the task (e.g., screenshots, console logs, etc.). Approve these requests to allow the agent to proceed.
Check the agent's work to ensure the task has been completed correctly.
When the task is complete, ask the AI Agent to close the task.