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Umami (Privacy Analytics) MCP Server for LangChainGive LangChain instant access to 53 tools to Add Team User, Admin List Teams, Admin List Users, and more

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Umami (Privacy Analytics) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Umami (Privacy Analytics) MCP Server for LangChain is a standout in the Marketing Automation category — giving your AI agent 53 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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({
        "umami-privacy-analytics": {
            "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 Umami (Privacy Analytics), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Umami (Privacy Analytics)
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 (Privacy Analytics) MCP Server

Connect your Umami instance to any AI agent to monitor your privacy-focused analytics and manage your infrastructure through natural language. Umami is the open-source, privacy-friendly alternative to Google Analytics, and this MCP server gives you full control over your data.

LangChain's ecosystem of 500+ components combines seamlessly with Umami (Privacy Analytics) through native MCP adapters. Connect 53 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

  • Event Tracking — Send custom events and page views directly to your Umami instance using the send_event tool.
  • Website Management — List and manage all websites associated with your account or the entire instance using get_me_websites or admin_list_websites.
  • User & Team Administration — Perform administrative tasks like creating, updating, or deleting users and managing teams with tools like create_user and admin_list_teams.
  • Session Insights — Retrieve information about your current session and authorized access levels using get_me.
  • Self-Hosted Support — Seamlessly connect to your own infrastructure using the login tool to authenticate and retrieve tokens.

The Umami (Privacy Analytics) MCP Server exposes 53 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 53 Umami (Privacy Analytics) tools available for LangChain

When LangChain connects to Umami (Privacy Analytics) through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, privacy-focused, event-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add team user on Umami (Privacy Analytics)

Add user to team

admin

Admin list teams on Umami (Privacy Analytics)

Returns all teams (Admin only)

admin

Admin list users on Umami (Privacy Analytics)

Returns all users (Admin only)

admin

Admin list websites on Umami (Privacy Analytics)

Returns all websites (Admin only)

create

Create attribution report on Umami (Privacy Analytics)

Marketing attribution report

create

Create funnel report on Umami (Privacy Analytics)

Conversion funnel report

create

Create link on Umami (Privacy Analytics)

Creates a link

create

Create pixel on Umami (Privacy Analytics)

Creates a pixel

create

Create report on Umami (Privacy Analytics)

Creates a report

create

Create retention report on Umami (Privacy Analytics)

User retention report

create

Create revenue report on Umami (Privacy Analytics)

Revenue report

create

Create team on Umami (Privacy Analytics)

Creates a team

create

Create user on Umami (Privacy Analytics)

Creates a user (Admin only)

create

Create website on Umami (Privacy Analytics)

Creates a website

delete

Delete user on Umami (Privacy Analytics)

Deletes a user (Admin only)

delete

Delete website on Umami (Privacy Analytics)

Deletes a website

get

Get me on Umami (Privacy Analytics)

Get information about the current session

get

Get me teams on Umami (Privacy Analytics)

Get all teams for the current user

get

Get me websites on Umami (Privacy Analytics)

Get all websites for the current user

get

Get realtime stats on Umami (Privacy Analytics)

Realtime stats within the last 30 minutes

get

Get session on Umami (Privacy Analytics)

Individual session details

get

Get session activity on Umami (Privacy Analytics)

Activity for a session

get

Get team users on Umami (Privacy Analytics)

Get team members

get

Get team websites on Umami (Privacy Analytics)

Get team websites

get

Get user on Umami (Privacy Analytics)

Gets a user by ID (Admin only)

get

Get user teams on Umami (Privacy Analytics)

Gets all teams belonging to a user (Admin only)

get

Get user websites on Umami (Privacy Analytics)

Gets all websites belonging to a user (Admin only)

get

Get website on Umami (Privacy Analytics)

Gets a website by ID

get

Get website active on Umami (Privacy Analytics)

Active users in the last 5 minutes

get

Get website daterange on Umami (Privacy Analytics)

Available data date range

get

Get website event data on Umami (Privacy Analytics)

Event data grouped by event

get

Get website event data events on Umami (Privacy Analytics)

Event data names and counts

get

Get website event data fields on Umami (Privacy Analytics)

Property and value counts

get

Get website events on Umami (Privacy Analytics)

Website event details

get

Get website events stats on Umami (Privacy Analytics)

Aggregated event statistics

get

Get website metrics on Umami (Privacy Analytics)

Metrics for a given time range (type: path, browser, os, etc.)

get

Get website metrics expanded on Umami (Privacy Analytics)

Expanded metrics including bounces and total time

get

Get website pageviews on Umami (Privacy Analytics)

Pageviews and sessions series data

get

Get website sessions on Umami (Privacy Analytics)

Website session details

get

Get website sessions stats on Umami (Privacy Analytics)

Summarized session statistics

get

Get website stats on Umami (Privacy Analytics)

Summarized website statistics (pageviews, visitors, etc.)

join

Join team on Umami (Privacy Analytics)

Join a team via access code

list

List links on Umami (Privacy Analytics)

Returns all user links

list

List pixels on Umami (Privacy Analytics)

Returns all user pixels

list

List reports on Umami (Privacy Analytics)

Get all reports by website ID

list

List teams on Umami (Privacy Analytics)

Returns all teams

list

List websites on Umami (Privacy Analytics)

Returns all user websites

action

Login on Umami (Privacy Analytics)

Login to self-hosted Umami to get a token

reset

Reset website on Umami (Privacy Analytics)

Removes all data related to the website

send

Send event on Umami (Privacy Analytics)

Send an event to Umami

update

Update user on Umami (Privacy Analytics)

Updates a user (Admin only)

update

Update website on Umami (Privacy Analytics)

Updates a website

verify

Verify token on Umami (Privacy Analytics)

Verify if the current token is still valid

Connect Umami (Privacy Analytics) to LangChain via MCP

Follow these steps to wire Umami (Privacy Analytics) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 53 tools from Umami (Privacy Analytics) via MCP

Why Use LangChain with the Umami (Privacy Analytics) MCP Server

LangChain provides unique advantages when paired with Umami (Privacy Analytics) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Umami (Privacy Analytics) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Umami (Privacy Analytics) queries for multi-turn workflows

Umami (Privacy Analytics) + LangChain Use Cases

Practical scenarios where LangChain combined with the Umami (Privacy Analytics) MCP Server delivers measurable value.

01

RAG with live data: combine Umami (Privacy Analytics) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Umami (Privacy Analytics), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Umami (Privacy Analytics) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Umami (Privacy Analytics) tool call, measure latency, and optimize your agent's performance

Example Prompts for Umami (Privacy Analytics) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Umami (Privacy Analytics) immediately.

01

"List all websites I have access to in Umami."

02

"Send a 'newsletter_signup' event for website 8f2...1a on page /thanks."

03

"Show me all users on this Umami instance."

Troubleshooting Umami (Privacy Analytics) MCP Server with LangChain

Common issues when connecting Umami (Privacy Analytics) to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Umami (Privacy Analytics) + LangChain FAQ

Common questions about integrating Umami (Privacy Analytics) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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