How to Use the Piwik PRO MCP in CrewAI

Deploy a specialized crew of agents in CrewAI to manage your Piwik PRO analytics and automate your monitoring tasks.

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…and any MCP-compatible client

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Connect Piwik PRO MCP to CrewAI

Create your Vinkius account to connect Piwik PRO to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Piwik PRO with CrewAI

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CrewAI agents querying Piwik PRO

Assign an analyst agent to execute `query_piwik_analytics` for daily reports. It works in the background while other agents handle the interpretation. This setup allows for complex data processing. One agent fetches the numbers, another summarizes them for your stakeholders.

Monitor Piwik PRO sites across a crew

Use `list_piwik_sites` to give your research agents a complete inventory of your properties. They can cross-reference this with your other data sources. Your agents maintain a shared memory of all tracked apps. This keeps the entire crew aligned on which sites require attention.

Manage Piwik PRO goals with CrewAI

The `list_piwik_goals` tool lets your agents verify if tracking configurations are correct. If a goal is missing, the agent flags it for review. It ensures your analytics setup is accurate. Your agents perform this check-up periodically to avoid data gaps.

Setup guide

Set up Piwik PRO MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Piwik PRO tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Piwik PRO Analyst",
    goal="Access and analyze Piwik PRO data via MCP.",
    backstory="Expert analyst with direct Piwik PRO access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Piwik PRO transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Piwik PRO Analyst",
        goal="Access and analyze Piwik PRO data via MCP.",
        backstory="Expert analyst with direct Piwik PRO access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Piwik PRO transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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