Bring Web Analytics
to CrewAI
Learn how to connect Umami (Privacy Analytics) to CrewAI and start using 53 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
What you can do
- Event Tracking — Send custom events and page views directly to your Umami instance using the
send_eventtool. - Website Management — List and manage all websites associated with your account or the entire instance using
get_me_websitesoradmin_list_websites. - User & Team Administration — Perform administrative tasks like creating, updating, or deleting users and managing teams with tools like
create_userandadmin_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
logintool to authenticate and retrieve tokens.
How it works
- Subscribe to this server
- Provide your Umami Instance URL and API Key (or use the login tool)
- Start querying your analytics data or managing users from Claude, Cursor, or any MCP client
Who is this for?
- Data Analysts — quickly pull website lists and verify tracking status without leaving the chat interface.
- DevOps & Admins — automate user provisioning and team management on self-hosted Umami instances.
- Growth Marketers — trigger test events and verify analytics pipelines during development.
Built-in capabilities (53)
Add user to team
Returns all teams (Admin only)
Returns all users (Admin only)
Returns all websites (Admin only)
Marketing attribution report
Conversion funnel report
Creates a link
Creates a pixel
Creates a report
User retention report
Revenue report
Creates a team
Creates a user (Admin only)
Creates a website
Deletes a user (Admin only)
Deletes a website
Get information about the current session
Get all teams for the current user
Get all websites for the current user
Realtime stats within the last 30 minutes
Individual session details
Activity for a session
Get team members
Get team websites
Gets a user by ID (Admin only)
Gets all teams belonging to a user (Admin only)
Gets all websites belonging to a user (Admin only)
Gets a website by ID
Active users in the last 5 minutes
Available data date range
Event data grouped by event
Event data names and counts
Property and value counts
Website event details
Aggregated event statistics
Metrics for a given time range (type: path, browser, os, etc.)
Expanded metrics including bounces and total time
Pageviews and sessions series data
Website session details
Summarized session statistics
Summarized website statistics (pageviews, visitors, etc.)
Join a team via access code
Returns all user links
Returns all user pixels
Get all reports by website ID
Returns all teams
Returns all user websites
Login to self-hosted Umami to get a token
Removes all data related to the website
Send an event to Umami
Updates a user (Admin only)
Updates a website
Verify if the current token is still valid
Why CrewAI?
When paired with CrewAI, Umami (Privacy Analytics) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Umami (Privacy Analytics) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Umami (Privacy Analytics) in CrewAI
Umami (Privacy Analytics) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Umami (Privacy Analytics) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Umami (Privacy Analytics) in CrewAI
The Umami (Privacy Analytics) 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. All 53 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Umami (Privacy Analytics) for CrewAI
Every tool call from CrewAI to the Umami (Privacy Analytics) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I use this with my self-hosted Umami instance?
Yes. You can provide your custom instance URL and use the login tool to authenticate, or provide a pre-generated API key/token.
How do I track a custom event from the AI?
Use the send_event tool. You'll need to provide the website ID and the url. You can also include optional metadata like name and data objects.
Can I manage other users if I am an admin?
Absolutely. If your credentials have admin rights, you can use admin_list_users, create_user, update_user, and delete_user to manage the instance population.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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