2,500+ MCP servers ready to use
Vinkius

Umami Cloud MCP Server for AutoGen 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Umami Cloud as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="umami_cloud_agent",
            tools=tools,
            system_message=(
                "You help users with Umami Cloud. "
                "4 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Umami Cloud
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 Umami Cloud MCP Server

The Umami Cloud MCP Server connects AI agents to the Umami Analytics API. It allows agents to retrieve real-time and historical website statistics, fetch pageviews, analyze active users, and export events dynamically while preserving end-user privacy.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Umami Cloud tools. Connect 4 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

The Umami Cloud MCP Server exposes 4 tools through the Vinkius. Connect it to AutoGen 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 Umami Cloud to AutoGen via MCP

Follow these steps to integrate the Umami Cloud MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 4 tools from Umami Cloud automatically

Why Use AutoGen with the Umami Cloud MCP Server

AutoGen provides unique advantages when paired with Umami Cloud through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Umami Cloud tools to solve complex tasks

02

Role-based architecture lets you assign Umami Cloud tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Umami Cloud tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Umami Cloud tool responses in an isolated environment

Umami Cloud + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Umami Cloud MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Umami Cloud while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Umami Cloud, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Umami Cloud data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Umami Cloud responses in a sandboxed execution environment

Umami Cloud MCP Tools for AutoGen (4)

These 4 tools become available when you connect Umami Cloud to AutoGen via MCP:

01

users

Get the number of active users on a website

02

websites.list

List websites configured in Umami

03

websites.metrics

Get specific metrics (urls, browsers, os, devices) for a website

04

websites.stats

Get summary statistics for a website in a time range

Example Prompts for Umami Cloud in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Umami Cloud immediately.

01

"Show me the top 5 pages by pageviews on my main website for the last 7 days."

02

"Analyze the bounce rate and absolute session duration from mobile users on the pricing page today."

03

"List the top 4 referral traffic sources matching 'social' for this month."

Troubleshooting Umami Cloud MCP Server with AutoGen

Common issues when connecting Umami Cloud to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Umami Cloud + AutoGen FAQ

Common questions about integrating Umami Cloud MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Umami Cloud tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Umami Cloud to AutoGen

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.