Matomo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Matomo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Matomo Assistant",
instructions=(
"You help users interact with Matomo. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Matomo"
)
print(result.final_output)
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 Matomo MCP Server
Connect your Matomo analytics instance to any AI agent and gain deep insights into your website traffic through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Matomo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Matomo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Visits Summary — Get aggregated metrics on visits, actions, and bounce rates
- Real-time Monitoring — See the latest visitor details and actions as they happen
- Top Content — Identify your most visited pages, referring websites, and social networks
- Visitor Profiles — Inspect complete history and behavior for specific visitor IDs
- Goal Tracking — List and monitor conversion goals configured in your instance
The Matomo MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Matomo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Matomo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Matomo
Why Use OpenAI Agents SDK with the Matomo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Matomo through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Matomo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Matomo MCP Server delivers measurable value.
Automated workflows: build agents that query Matomo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Matomo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Matomo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Matomo to resolve tickets, look up records, and update statuses without human intervention
Matomo MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Matomo to OpenAI Agents SDK via MCP:
get_goals
Get the list of goals
get_live_last_visits
Get last visits in real-time
get_site_details
Get details for a specific website
get_top_pages
Get the most visited pages
get_top_referrers
Get the top referrer types
get_top_socials
Get the top referring social networks
get_top_websites
Get the top referring websites
get_visitor_profile
Get a detailed profile for a visitor
get_visits_summary
Get a summary of visits
list_sites
List all websites in Matomo
Example Prompts for Matomo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Matomo immediately.
"Show me a summary of visits for today."
"What are the top pages on my site this week?"
"List all sites configured in Matomo."
Troubleshooting Matomo MCP Server with OpenAI Agents SDK
Common issues when connecting Matomo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Matomo + OpenAI Agents SDK FAQ
Common questions about integrating Matomo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Matomo 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 Matomo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.