Can I create a new project using just a URL?

Yes! Use the `create_webvizio_project` tool and provide the website URL. Your agent will add it to your WebVizio dashboard for monitoring.

How do I see all the bugs reported for a specific site?

Run the `list_webvizio_tasks` query with your Project ID. It will return a complete list of all feedback tasks, including status and descriptions.

Is it possible to reply to feedback comments via AI?

Absolutely. Use the `add_webvizio_comment` tool by providing the Task ID and your text to post a new comment to the visual discussion thread.

INSTANT PLUG AND PLAY

WebVizio MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Add Webvizio Comment, Create Webvizio Project, Create Webvizio Task, and more

Name: WebVizio
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect WebVizio through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The WebVizio app connector for OpenAI Agents SDK is a standout in the Collaboration category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="WebVizio Assistant",
            instructions=(
                "You help users interact with WebVizio. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from WebVizio"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About WebVizio MCP Server

Connect your WebVizio account to any AI agent and streamline your visual collaboration and website review processes through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from WebVizio through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries WebVizio, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — List all websites under monitoring and create new feedback projects by URL.
Task Control — Create, list, and update feedback tasks (bugs, UI improvements) directly on specific projects.
Visual Discussion — List and add comments to tasks to keep the review conversation organized.
Integration Monitoring — List configured webhooks to ensure your event-driven workflows are active.
Technical Insights — Retrieve detailed logs and metadata for individual tasks and project URLs.

The WebVizio MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 WebVizio tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to WebVizio through Vinkius, your AI agent gets direct access to every tool listed below — spanning visual-feedback, website-review, bug-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_webvizio_comment

Add a comment to a task

create_webvizio_project

Create a new project

create_webvizio_task

Create a new feedback task

get_webvizio_project_details

Get project details

get_webvizio_task_details

Get task details

list_webvizio_comments

List comments on a task

list_webvizio_projects

List all website feedback projects

list_webvizio_tasks

List tasks in a project

list_webvizio_webhooks

List configured webhooks

update_webvizio_task

Update a task status or details

Connect WebVizio to OpenAI Agents SDK via MCP

Follow these steps to wire WebVizio into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from WebVizio

Why Use OpenAI Agents SDK with the WebVizio MCP Server

OpenAI Agents SDK provides unique advantages when paired with WebVizio through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

WebVizio + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the WebVizio MCP Server delivers measurable value.

Automated workflows: build agents that query WebVizio, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries WebVizio, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through WebVizio tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query WebVizio to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for WebVizio in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with WebVizio immediately.

"List all active website projects in my WebVizio account."

"Show me all pending tasks for the project 'vinkius.com'."

"Create a new feedback project for 'https://newsite.demo'."

Troubleshooting WebVizio MCP Server with OpenAI Agents SDK

Common issues when connecting WebVizio to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

WebVizio + OpenAI Agents SDK FAQ

Common questions about integrating WebVizio MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.