Webvizio MCP Server

Webvizio MCP Server

Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

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Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

Key Features

Implements Model Context Protocol interface
Fetches and manages Webvizio projects
Retrieves open tasks assigned to users
Provides rich task context including descriptions, logs, and screenshots
Enables AI agents to execute development tasks
Supports secure API key-based authentication
Offers tools for workflow automation
Allows for closing/resolving tasks programmatically
Facilitates structured data exchange with AI clients
Integrates with browser extension for visual feedback capture

Use Cases

Automating the transformation of website feedback into developer tasks
Enabling AI coding agents to access and resolve bugs with full context
Providing non-technical teams a streamlined route to communicate development needs
Retrieving detailed logs and screenshots for debugging
Managing and updating Webvizio project tasks via standardized API
Integrating visual feedback with code workflows in development environments
Enhancing bug triage accuracy by AI agents
Automating closure of tasks after AI-based resolution
Supporting IDE chatbots in accessing project and task data
Facilitating collaboration between end-users, product teams, and developers through structured context exchange

README

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_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

  1. Make sure you have Node.js 18 (or a higher version) installed on your device.
  2. 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>"
   }
}
  3. Generate and copy the API key for the MCP server on the AI Settings page https://app.webvizio.com/profile/ai
  4. Insert the API key into the WEBVIZIO_API_KEY environment variable.
  5. Save the changes.
  6. Done. Your MCP server is configured and ready to work.

🚀 Usage

  1. Open your IDE's chat (e.g., agent mode in Cursor or Cascade in Windsurf).
  2. Paste a link to a Webvizio task. Alternatively, you can ask the AI agent to display all your tasks.
  3. Instruct the AI agent to execute the selected task.
  4. 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.
  5. Check the agent's work to ensure the task has been completed correctly.
  6. When the task is complete, ask the AI Agent to close the task.

Star History

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Repository Owner

Webvizio
Webvizio

Organization

Repository Details

Language TypeScript
Default Branch main
Size 27 KB
Contributors 2
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

TypeScript
89.85%
JavaScript
10.15%

Tags

Task Automation API integration

Topics

ai cursor cursor-ai ide mcp vscode windsurf windsurf-ai

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