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Simple Analytics MCP Server for LangChainGive LangChain instant access to 5 tools to Add Website, Export Datapoints, Get Stats, and more

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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.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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())
Simple Analytics
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 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_stats to fetch pageviews, visitors, and histograms for any of your domains with custom date ranges.
  • Data Export — Use export_datapoints to retrieve raw, non-sampled data for deep analysis or custom reporting.
  • Site Management — List all managed websites with list_websites or add new domains to your account using add_website.
  • Server-Side Tracking — Send custom events or pageviews directly from your server using send_server_event to 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

Add website on Simple Analytics

Requires Business or Enterprise plan. Add a new website to Simple Analytics

export

Export datapoints on Simple Analytics

Requires User-Id credential to be set. Export raw, non-sampled data points

get

Get stats on Simple Analytics

) for a specific domain. Get aggregated statistics for a website

list

List websites on Simple Analytics

List all websites associated with the user

send

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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 5 tools from Simple Analytics via MCP

Why Use LangChain with the Simple Analytics MCP Server

LangChain provides unique advantages when paired with Simple Analytics through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Simple Analytics MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Simple Analytics tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Simple Analytics, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Simple Analytics tools with web scrapers, databases, and calculators in a single agent run

04

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.

01

"Get the visitor count for example.com for the last 30 days."

02

"List all the websites I have registered in Simple Analytics."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Simple Analytics + LangChain FAQ

Common questions about integrating Simple Analytics MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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