Microsoft Clarity MCP Server for LangChainGive LangChain instant access to 13 tools to Check Clarity Status, Get Dashboard, Get Heatmap, and more
LangChain is the leading Python framework for composable LLM applications. Connect Microsoft Clarity through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Microsoft Clarity app connector for LangChain 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
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"microsoft-clarity": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Microsoft Clarity, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Microsoft Clarity through native MCP adapters. Connect 13 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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.
Verify connectivity
Get dashboard metrics
Get heatmap data
Get live insights
Get project details
Get recording details
Get scroll depth
List dead clicks
List heatmaps
List projects
List rage clicks
List recordings
List top pages
Connect Microsoft Clarity to LangChain via MCP
Follow these steps to wire Microsoft Clarity into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Microsoft Clarity MCP Server
LangChain provides unique advantages when paired with Microsoft Clarity through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Microsoft Clarity MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Microsoft Clarity queries for multi-turn workflows
Microsoft Clarity + LangChain Use Cases
Practical scenarios where LangChain combined with the Microsoft Clarity MCP Server delivers measurable value.
RAG with live data: combine Microsoft Clarity tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Microsoft Clarity, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Microsoft Clarity tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Microsoft Clarity tool call, measure latency, and optimize your agent's performance
Example Prompts for Microsoft Clarity in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Microsoft Clarity to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMicrosoft Clarity + LangChain FAQ
Common questions about integrating Microsoft Clarity MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.