3,400+ MCP servers ready to use
Vinkius
M

Bring Behavioral Analytics
to Mastra AI

Learn how to connect Microsoft Clarity to Mastra AI and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Clarity StatusGet DashboardGet HeatmapGet Live InsightsGet ProjectGet RecordingGet Scroll DepthList Dead ClicksList HeatmapsList ProjectsList Rage ClicksList RecordingsList Top Pages

What is the Microsoft Clarity MCP Server?

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

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

How it works

1. Subscribe to this server
2. Enter your Clarity API Key
3. Start analyzing user behavior from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • UX Designers — identify friction points, analyze click patterns, and validate design decisions with behavioral data
  • Product Managers — monitor engagement metrics, track feature adoption through scroll depth, and prioritize UX improvements
  • Growth Engineers — detect conversion blockers by analyzing rage clicks, dead clicks, and session replay data

Built-in capabilities (13)

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

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and Microsoft Clarity tool infrastructure. Connect 13 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Microsoft Clarity without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every Microsoft Clarity tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

Microsoft Clarity in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Microsoft Clarity and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Microsoft Clarity to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Microsoft Clarity in Mastra AI

The Microsoft Clarity 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Microsoft Clarity for Mastra AI

Every tool call from Mastra AI to the Microsoft Clarity MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp