Simple Analytics MCP Server for LangChainGive LangChain instant access to 5 tools to Add Website, Export Datapoints, Get Stats, and more
LangChain is the leading Python framework for composable LLM applications. Connect Simple Analytics 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 MCP Server for LangChain
The Simple Analytics MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 5 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({
"simple-analytics": {
"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 Simple Analytics, 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 Simple Analytics MCP Server
Connect Simple Analytics to your AI agent for privacy-first insights. Simple Analytics provides clean, simple, and privacy-friendly web analytics without tracking users or using cookies.
LangChain's ecosystem of 500+ components combines seamlessly with Simple Analytics through native MCP adapters. Connect 5 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
- Aggregated Stats — Use
get_statsto fetch pageviews, visitors, and histograms for any of your domains with custom date ranges. - Data Export — Use
export_datapointsto retrieve raw, non-sampled data for deep analysis or custom reporting. - Site Management — List all managed websites with
list_websitesor add new domains to your account usingadd_website. - Server-Side Tracking — Send custom events or pageviews directly from your server using
send_server_eventto track conversions or backend actions.
The Simple Analytics MCP Server exposes 5 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 Simple Analytics tools available for LangChain
When LangChain connects to Simple Analytics through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, privacy-focused, cookieless, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add website on Simple Analytics
Requires Business or Enterprise plan. Add a new website to Simple Analytics
Export datapoints on Simple Analytics
Requires User-Id credential to be set. Export raw, non-sampled data points
Get stats on Simple Analytics
) for a specific domain. Get aggregated statistics for a website
List websites on Simple Analytics
List all websites associated with the user
Send server event on Simple Analytics
Submit a server-side event or pageview
Connect Simple Analytics to LangChain via MCP
Follow these steps to wire Simple Analytics into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 Simple Analytics MCP Server
LangChain provides unique advantages when paired with Simple Analytics through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Simple Analytics 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 Simple Analytics queries for multi-turn workflows
Simple Analytics + LangChain Use Cases
Practical scenarios where LangChain combined with the Simple Analytics MCP Server delivers measurable value.
RAG with live data: combine Simple Analytics tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Simple Analytics, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Simple Analytics tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Simple Analytics tool call, measure latency, and optimize your agent's performance
Example Prompts for Simple Analytics in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Simple Analytics immediately.
"Get the visitor count for example.com for the last 30 days."
"List all the websites I have registered in Simple Analytics."
"Add a new website 'newproject.com' and set its timezone to 'Europe/London'."
Troubleshooting Simple Analytics MCP Server with LangChain
Common issues when connecting Simple Analytics to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSimple Analytics + LangChain FAQ
Common questions about integrating Simple Analytics 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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