Pirsch Analytics MCP Server for LangChainGive LangChain instant access to 14 tools to Create Domain, Get Statistics Active, Get Statistics Events, and more

Name: Pirsch Analytics
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Pirsch 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

Open in ChatGPT Open in Claude Open in Perplexity

The Pirsch Analytics MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 14 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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({
        "pirsch-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 Pirsch Analytics, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Pirsch Analytics MCP Server

Connect Pirsch Analytics to your AI agent to monitor your website traffic and user behavior without compromising privacy. This MCP server allows you to collect data and query complex statistics through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Pirsch Analytics through native MCP adapters. Connect 14 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

Traffic Monitoring — Retrieve overview, visitor, and page statistics for any of your domains using specific date ranges.
Event Tracking — Send individual or batch hits and events to track user conversions and interactions in real-time.
Domain Management — List all configured domains and create new ones directly through the API.
Referrer & Source Analysis — Analyze where your traffic is coming from with detailed referrer and UTM source statistics.
Real-time Insights — Access active visitor counts and goal completion metrics to stay on top of your site's performance.

Connect Pirsch Analytics to LangChain via MCP

Follow these steps to wire Pirsch Analytics into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 14 tools from Pirsch Analytics via MCP

Why Use LangChain with the Pirsch Analytics MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Pirsch 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 Pirsch Analytics queries for multi-turn workflows

Pirsch Analytics + LangChain Use Cases

Practical scenarios where LangChain combined with the Pirsch Analytics MCP Server delivers measurable value.

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

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

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

Production monitoring: use LangSmith to trace every Pirsch Analytics tool call, measure latency, and optimize your agent's performance

Example Prompts for Pirsch Analytics in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Pirsch Analytics immediately.

"Get visitor statistics for domain ID 'abc-123' from 2023-10-01 to 2023-10-31."

"Track a page view for 'https://example.com/pricing' from IP 1.2.3.4."

"List all my domains configured in Pirsch."

Troubleshooting Pirsch Analytics MCP Server with LangChain

Common issues when connecting Pirsch Analytics to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Pirsch Analytics + LangChain FAQ

Common questions about integrating Pirsch Analytics MCP Server with LangChain.

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.

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.

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.

Explore More MCP Servers

View all →

PHC GO

16 tools

Equip your AI agent to control your PHC GO ERP. Query customers, retrieve real-time stocks, map taxes, and issue documents conversationally.

Gelato

12 tools

Manage print-on-demand orders, track fulfillment, and get shipping quotes via AI agents with Gelato.

PedidosYa

14 tools

Automate restaurant operations on PedidosYa — manage orders, update menus, request couriers, and track deliveries across Latin America from any AI agent.

BrasilAPI

6 tools

Access Brazilian institutional data — audit CEP, CNPJ, and banks via AI.