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Microsoft Clarity MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Check Clarity Status, Get Dashboard, Get Heatmap, and more

Built by Vinkius GDPR 13 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Microsoft Clarity through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The Microsoft Clarity app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Microsoft Clarity "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Microsoft Clarity?"
    )
    print(result.data)

asyncio.run(main())
Microsoft Clarity
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.

Pydantic AI validates every Microsoft Clarity tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

Follow these steps to wire Microsoft Clarity into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 13 tools from Microsoft Clarity with type-safe schemas

Why Use Pydantic AI with the Microsoft Clarity MCP Server

Pydantic AI provides unique advantages when paired with Microsoft Clarity through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Microsoft Clarity integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Microsoft Clarity connection logic from agent behavior for testable, maintainable code

Microsoft Clarity + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Microsoft Clarity MCP Server delivers measurable value.

01

Type-safe data pipelines: query Microsoft Clarity with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Microsoft Clarity tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Microsoft Clarity and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Microsoft Clarity responses and write comprehensive agent tests

Example Prompts for Microsoft Clarity in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Microsoft Clarity immediately.

01

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

02

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

03

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

Troubleshooting Microsoft Clarity MCP Server with Pydantic AI

Common issues when connecting Microsoft Clarity to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Microsoft Clarity + Pydantic AI FAQ

Common questions about integrating Microsoft Clarity MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Microsoft Clarity MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.