Piwik PRO MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Piwik PRO through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"piwik-pro": {
"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 Piwik PRO, 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 Piwik PRO MCP Server
Connect your Piwik PRO Analytics Suite to any AI agent and take full control of your privacy-compliant data workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Piwik PRO through native MCP adapters. Connect 6 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
- Analytics Discovery — List all websites and apps (containers) tracked in your Piwik PRO account.
- Custom Reporting — Execute complex analytics queries using JSON to extract specific dimensions and metrics.
- Goal Tracking — List and monitor conversion goals for any specific application.
- Dashboard Visibility — List available dashboards to maintain an overview of your analytical insights.
- Admin Oversight — List account users and tracking sites to manage your organization's setup.
The Piwik PRO MCP Server exposes 6 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.
How to Connect Piwik PRO to LangChain via MCP
Follow these steps to integrate the Piwik PRO MCP Server with LangChain.
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 6 tools from Piwik PRO via MCP
Why Use LangChain with the Piwik PRO MCP Server
LangChain provides unique advantages when paired with Piwik PRO through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Piwik PRO 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 Piwik PRO queries for multi-turn workflows
Piwik PRO + LangChain Use Cases
Practical scenarios where LangChain combined with the Piwik PRO MCP Server delivers measurable value.
RAG with live data: combine Piwik PRO tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Piwik PRO, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Piwik PRO tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Piwik PRO tool call, measure latency, and optimize your agent's performance
Piwik PRO MCP Tools for LangChain (6)
These 6 tools become available when you connect Piwik PRO to LangChain via MCP:
list_piwik_apps
List all websites/apps in Piwik PRO
list_piwik_dashboards
List Piwik PRO dashboards
list_piwik_goals
List goals for a specific app
list_piwik_sites
List tracking sites
list_piwik_users
List account users
query_piwik_analytics
Requires a JSON query body. Execute a custom analytics query
Example Prompts for Piwik PRO in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Piwik PRO immediately.
"List all websites tracked in my Piwik PRO account."
"What are the conversion goals defined for the 'E-commerce Portal' (ID: 12345)?"
"List all users with access to our Piwik PRO organization."
Troubleshooting Piwik PRO MCP Server with LangChain
Common issues when connecting Piwik PRO to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPiwik PRO + LangChain FAQ
Common questions about integrating Piwik PRO 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?
Connect Piwik PRO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Piwik PRO to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.