3,400+ MCP servers ready to use
Vinkius

Bring Behavioral Analytics
to Vercel AI SDK

Learn how to connect Microsoft Clarity to Vercel AI SDK 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
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

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 Vercel AI SDK?

The Vercel AI SDK gives every Microsoft Clarity tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • —

    TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • —

    Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Microsoft Clarity integration everywhere

  • —

    Built-in streaming UI primitives let you display Microsoft Clarity tool results progressively in React, Svelte, or Vue components

  • —

    Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Microsoft Clarity in Vercel AI SDK

AI Agent→Vinkius
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 Vercel AI SDK 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
Use with Your AI Agent View step-by-step setup guide for Vercel AI SDK →
Enterprise Security

Why teams choose Vinkius for Microsoft Clarity in Vercel AI SDK

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 Vercel AI SDK 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.

Use with Your AI Agent View full Microsoft Clarity details →
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 Vercel AI SDK

Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp