Can I detect UX friction points like dead clicks and rage clicks?

Yes! Use `list_dead_clicks` to find page elements where users click without any response — signaling non-interactive elements that look clickable. Use `list_rage_clicks` to detect pages where users repeatedly click in frustration, indicating broken buttons, slow-loading elements, or confusing UI patterns.

Can I analyze how far users scroll on each page?

Yes. The `get_scroll_depth` tool returns scroll metrics for each page in your project, showing the percentage of users who reach each content section. This identifies exactly where engagement drops off — essential for optimizing content placement and CTA positioning.

Can I view real-time analytics while users are on my site?

Yes. The `get_live_insights` tool provides real-time data for any project, including active user count, current page views, and live engagement metrics. For historical aggregates, use `get_dashboard` to access sessions, pages per session, and engagement scores over time.

INSTANT PLUG AND PLAY

Microsoft Clarity MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 13 tools to Check Clarity Status, Get Dashboard, Get Heatmap, and more

Name: Microsoft Clarity
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 13 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Microsoft Clarity 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 Microsoft Clarity app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 13 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="Microsoft Clarity Assistant",
            instructions=(
                "You help users interact with Microsoft Clarity. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

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 Microsoft Clarity MCP Server

Connect your Microsoft Clarity account to any AI agent and unlock behavioral analytics insights through natural conversation.

The OpenAI Agents SDK auto-discovers all 13 tools from Microsoft Clarity through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Microsoft Clarity, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — List all tracked websites and inspect individual project configurations and data retention settings
Live Insights — Retrieve real-time active users, page views, and engagement metrics for any project
Dashboard Analytics — Access aggregate metrics including sessions, pages per session, engagement scores, and bounce rates
Heatmap Analysis — Browse page heatmaps showing click, scroll, and attention patterns, and inspect detailed interaction data
Session Recordings — List session recordings with duration and pages visited, and inspect individual session timelines
UX Friction Detection — Identify dead clicks (elements that don't respond) and rage clicks (repeated frustrated clicking) to locate broken UI elements
Content Visibility — Analyze scroll depth data to understand how far users scroll and where content engagement drops off
Page Ranking — View top-performing pages ranked by session count and engagement metrics

The Microsoft Clarity MCP Server exposes 13 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 13 Microsoft Clarity tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Microsoft Clarity through Vinkius, your AI agent gets direct access to every tool listed below — spanning behavioral-analytics, heatmaps, session-recording, 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.

check_clarity_status

Verify connectivity

get_dashboard

Get dashboard metrics

get_heatmap

Get heatmap data

get_live_insights

Get live insights

get_project

Get project details

get_recording

Get recording details

get_scroll_depth

Get scroll depth

list_dead_clicks

List dead clicks

list_heatmaps

List heatmaps

list_projects

List projects

list_rage_clicks

List rage clicks

list_recordings

List recordings

list_top_pages

List top pages

Connect Microsoft Clarity to OpenAI Agents SDK via MCP

Follow these steps to wire Microsoft Clarity 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 13 tools from Microsoft Clarity

Why Use OpenAI Agents SDK with the Microsoft Clarity MCP Server

OpenAI Agents SDK provides unique advantages when paired with Microsoft Clarity 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

Microsoft Clarity + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Microsoft Clarity in OpenAI Agents SDK

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

"Show me all rage clicks and dead clicks on our checkout page this week."

"What are the top 5 most visited pages and how far do users scroll on the homepage?"

"How many active users are on the site right now and what pages are they viewing?"

Troubleshooting Microsoft Clarity MCP Server with OpenAI Agents SDK

Common issues when connecting Microsoft Clarity 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.

Microsoft Clarity + OpenAI Agents SDK FAQ

Common questions about integrating Microsoft Clarity 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.