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Microsoft Clarity MCP Server for LlamaIndexGive LlamaIndex instant access to 13 tools to Check Clarity Status, Get Dashboard, Get Heatmap, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Microsoft Clarity as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Microsoft Clarity app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Microsoft Clarity. "
            "You have 13 tools available."
        ),
    )

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

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.

LlamaIndex agents combine Microsoft Clarity tool responses with indexed documents for comprehensive, grounded answers. Connect 13 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the Microsoft Clarity MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Microsoft Clarity tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Microsoft Clarity tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Microsoft Clarity, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Microsoft Clarity tools were called, what data was returned, and how it influenced the final answer

Microsoft Clarity + LlamaIndex Use Cases

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

01

Hybrid search: combine Microsoft Clarity real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Microsoft Clarity to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Microsoft Clarity for fresh data

04

Analytical workflows: chain Microsoft Clarity queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Microsoft Clarity in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Microsoft Clarity + LlamaIndex FAQ

Common questions about integrating Microsoft Clarity MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Microsoft Clarity tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.