How to Use the Piwik PRO MCP in OpenAI Agents SDK
Give your OpenAI Agents SDK system direct access to privacy-first analytics with this Piwik PRO integration.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Piwik PRO MCP to OpenAI Agents SDK
Create your Vinkius account to connect Piwik PRO to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Query Piwik PRO MCP Server directly
Connect this MCP server to let your production agents run custom analytics queries on the fly. The `query_piwik_analytics` tool takes a JSON body and returns the exact metrics you ask for. You define the guardrails in your OpenAI setup, and the agent pulls the data without human intervention. This stops your team from manually exporting CSVs just to feed them into an LLM.
Map your tracking architecture
Give your agents the `list_piwik_apps` tool to index your entire analytics setup before they start crunching numbers. They use `list_piwik_sites` to map out available properties across your organization. Then they pull active targets via `list_piwik_goals` to understand what conversions actually matter to your business. The agent figures out the tracking structure on its own.
Audit dashboards and user access
You can hand off permission audits to an automated workflow using the `list_piwik_users` tool. Your agent pulls the active account roster directly from the source. It cross-references that list against `list_piwik_dashboards` to verify who has access to which reporting views. You get an instant overview of your analytics security posture.
Set up Piwik PRO MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Piwik PRO tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Piwik PRO tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Piwik PRO tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Piwik PRO Agent",
instructions="You have access to Piwik PRO tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Piwik PRO. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Piwik PRO MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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Start using the Piwik PRO MCP today
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