Matomo Alternative MCP. Pull web analytics metrics, not just look at them.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Matomo Alternative MCP Server connects your AI agent directly to your web analytics instance. Use this server to track page views, pull core visitor metrics like bounce rates and unique users, or generate structured reports without leaving your chat window.
It turns complex dashboard navigation into simple conversation.
What your AI agents can do
Get image graph
Creates a static PNG graph image for specified metrics and time periods.
Get processed report
Returns a full, human-readable report set including all necessary metadata and processed metrics.
Get report metadata
Lists every available API function for your Matomo instance so you know what data can be retrieved.
Send specific page views, custom events, or e-commerce actions to your Matomo instance via track_action.
Send multiple tracking requests at once using track_bulk, which is faster for large data sets.
Get a snapshot of key performance indicators like total visits, actions, and bounce counts with get_visits_summary.
Pull complete, processed reports that include metadata and detailed metrics using get_processed_report or the WordPress REST API via get_wp_processed_report.
Use get_report_metadata to list every available report function and its required parameters, letting you know exactly what data exists on your site.
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Matomo Alternative MCP Server: 7 Tools for Data Reporting & Tracking
Use these seven dedicated tools to retrieve core metrics, generate processed reports, or track events directly from your AI client.
019e5d33get image graph
Creates a static PNG graph image for specified metrics and time periods.
019e5d33get processed report
Returns a full, human-readable report set including all necessary metadata and processed metrics.
019e5d33get report metadata
Lists every available API function for your Matomo instance so you know what data can be retrieved.
019e5d33get visits summary
Retrieves a quick summary of key metrics like total visits, actions, and bounce counts.
019e5d33get wp processed report
Gets a processed report specifically through the WordPress REST API endpoint.
019e5d33track action
Tracks a single page view, custom event, or e-commerce action on your site (requires site ID).
019e5d33track bulk
Sends multiple tracking events to the server simultaneously for efficient data ingestion.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Matomo Alternative, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Matomo Alternative - Web Analytics MCP Server connects your AI agent straight to your web analytics setup. You don't gotta click through dashboards anymore; you just talk to it. This thing takes complex data requests and turns 'what was my bounce rate last Tuesday?' into an actionable answer right in your chat window.
Sending Data: Tracking User Actions
If you need to track something, this server handles it. You can use track_action to log a single event—like someone viewing a specific page or triggering a custom e-commerce action—by sending the necessary site ID along with the details. If you're dealing with a ton of data, forget using that tool repeatedly; you'll want track_bulk.
This sends multiple tracking events at once, which is way faster for getting large amounts of information logged to your Matomo instance.
Finding Out What You Can Track: Data Discovery
Got no idea what metrics are available? No sweat. Use get_report_metadata first. It lists every single reporting function built into your Matomo setup, so you'll know exactly what data points exist and what parameters they need before you even ask for a number. For WordPress-specific sites, you've got the get_wp_processed_report, which pulls processed reports specifically through that WP REST API endpoint.
Getting Metrics: Quick Reads and Full Reports
Need core numbers fast? You can call get_visits_summary to get a snapshot. It immediately hands you key performance indicators like the total visits, bounce counts, and number of actions taken—all in one go. When you need something deeper, you've got two ways to pull full reports. First, there’s get_processed_report, which returns complete, human-readable report sets that include all the necessary metadata and metrics for any given site ID and date range.
You can also use get_wp_processed_report if your data is housed under WordPress.
Visualizing Data: Graphs and Outputs
Sometimes you don't want numbers; you want to see them. Use get_image_graph when you need a static PNG image of specific metrics over time. You just point it at the required metrics and time periods, and it spits out the visual graph. All this capability means your AI agent acts like an expert data analyst sitting right next to you.
It handles the backend complexity, giving you clean, direct answers without making you touch a single dashboard link.
How Matomo Alternative MCP Works
- 1 Subscribe to the server and provide your Matomo Instance URL and Auth Token.
- 2 Tell your AI agent what metric or report you need (e.g., 'What was my unique visitor count last month?').
- 3 The agent calls the appropriate tool (
get_visits_summaryorget_processed_report) and returns the structured data.
The bottom line is: you get specific, actionable web analytics reports directly from your chat client without manually exporting anything.
Who Is Matomo Alternative MCP For?
Any person who deals with website performance metrics and hates clicking through multiple tabs. This is for the Marketing Ops specialist who needs to check campaign conversion rates at 10 PM, or the Developer who needs to verify if event tracking fired correctly without logging into a dashboard.
Uses get_report_metadata first. Then they call get_processed_report to pull structured data for custom analysis, bypassing the GUI.
Checks campaign health by running get_visits_summary or tracking specific promotions using track_action in real time.
Verifies event triggers and page views directly from the IDE by calling track_action, ensuring data integrity before launch.
What Changes When You Connect
- Stop manually exporting CSVs. Using
get_processed_reportlets your agent pull structured, ready-to-use data into plain text, cutting minutes off every reporting cycle. - Need a quick check? Instead of clicking through multiple tabs to find the bounce rate, ask for it directly with
get_visits_summary. You get core metrics in seconds. - Tracking events is simple. Calling
track_actionmeans you don't need to mess with console scripts; you just tell your agent what action happened and where. - Debugging tracking implementation? Use
get_report_metadatafirst. This tool shows you the exact API reports available, so you know exactly what data points you can access. - Send a burst of data using
track_bulk. If you're testing multiple event triggers at once, this minimizes API calls and speeds up your setup.
Real-World Use Cases
Checking Campaign Performance After Hours
The Marketing Manager needs to know how Site ID 5 performed last night. Instead of logging into the Matomo GUI, they ask their agent: 'Show me the visits summary for site ID 5 for yesterday.' The agent uses get_visits_summary and gives them bounce rates and total actions instantly.
Debugging a Broken Tracking Pixel
The Developer suspects an e-commerce action isn't firing. They use the IDE to call track_action manually, passing the specific event details. This confirms whether the tracking pixel is receiving and logging the data correctly before they redeploy.
Generating a Deep Dive Quarterly Review
The Data Analyst needs historical context for Q3. They use get_report_metadata to discover all available reports, then call get_processed_report with the required parameters to compile a full, comprehensive report set.
Validating WordPress Integration
The Ops Engineer is deploying new content and needs to ensure Matomo picks up the data correctly. They use get_wp_processed_report to pull the latest metrics specifically through the WP REST API, confirming integration health.
The Tradeoffs
Assuming general web analytics coverage
Just trying to ask the agent for 'my total revenue' without specifying which site ID or date range. The tool doesn't know what you mean.
→
Always specify the site and period. Use get_visits_summary with explicit parameters (e.g., 'site ID 1, last 30 days') to get a concrete answer.
Sending tracking data one request at a time
Manually calling track_action repeatedly in a script loop for dozens of pages. This is slow and inefficient.
→
Use the dedicated bulk function: track_bulk. Send all your tracking requests in one call to optimize data ingestion.
Not knowing which metrics exist
Asking for 'conversion rate' when the underlying API report is titled 'goal completions.' The query fails because of naming mismatch.
→
Start by running get_report_metadata. This lists every function name and its purpose, so you know exactly what to ask for.
When It Fits, When It Doesn't
Use this server if your workflow requires programmatic access to Matomo data. You need to pull structured metrics or push tracking events using an API call—not just view the dashboard GUI. If your goal is simply visual reporting and you don't need to use the data in code, stick with the native Matomo interface.
However, if you are building a custom internal tool or running automated audits, this server is key. For instance, if you want basic visit counts, get_visits_summary works great. But if you need detailed e-commerce funnel steps, you'll need to use get_processed_report after checking the available functions with get_report_metadata. Don't try to guess which report exists; always check the metadata first.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Matomo. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through Matomo dashboards is a time sink.
You know the drill: you log into the dashboard, click on 'Behavior,' then select 'Pages viewed.' Then you have to adjust the date picker, sometimes going back three menus just to find the right report. You're spending more time clicking and filtering than actually analyzing what those numbers mean.
With this MCP server, that process disappears. Your agent talks to Matomo directly. Instead of navigating tabs, you ask: 'What was the bounce rate for site ID 1 last quarter?' And boom—you get a precise answer from `get_visits_summary`. No clicks required.
Matomo Alternative MCP Server: Get data, not just views.
The biggest manual step that vanishes is the data compilation. You used to pull a graph with `get_image_graph`, then go back and run a separate report for unique users. Then you'd have to copy all those numbers into a spreadsheet just to combine them.
Now, your agent handles it. It calls the appropriate tools—maybe `get_visits_summary` followed by `get_processed_report`—and presents the combined data structure directly in your chat. You get actionable metrics, not partial dashboards.
Common Questions About Matomo Alternative MCP
How do I know what reports are available using get_report_metadata? +
Running get_report_metadata lists every single API function your Matomo instance supports. It's the directory for all the data you can pull, letting you see things like which site IDs and metrics exist.
Can I track events from my Python code using track_action? +
Yes. The track_action tool lets your agent send specific page view, event, or e-commerce actions to Matomo. You just need the site ID and the details of the action.
Is get_visits_summary better than getting a processed report? +
It depends on what you need. get_visits_summary is for quick, high-level checks—the total visits, bounce count. Use get_processed_report when you need a deep dive into detailed metrics and metadata.
What if I have many events to track at once? +
Don't use track_action multiple times. Instead, use the track_bulk tool. It’s designed to send a batch of tracking requests simultaneously for better performance.
What authentication details do I need to use `get_processed_report`? +
You must provide your Matomo Instance URL and a valid API Auth Token. This token needs read permissions for the site ID you are analyzing. If the credentials fail, the tool returns an immediate authentication error.
How is `get_wp_processed_report` different from general reporting tools? +
get_wp_processed_report specifically pulls data using the WordPress REST API. Use this when your Matomo instance relies on or is integrated with a WordPress backend; otherwise, stick to standard methods.
What parameters should I supply when calling `get_image_graph`? +
You must specify both the target site ID and the desired time period. This tool generates static PNG graph data based on those inputs, making it useful for embedding visualizations directly into documents.
What should I know about rate limits when using `get_processed_report`? +
While the tool handles full report sets, hitting API rate limits is possible with very large queries. Always check the Matomo documentation for recommended batch sizes to ensure uninterrupted data ingestion.
How do I get a summary of visits for a specific site? +
Use the get_visits_summary tool. Provide the idSite, the period (day, week, month, etc.), and the date. The agent will return metrics like total visits, actions, and bounce counts.
Can I track custom events like button clicks via the AI? +
Yes! Use the track_action tool. You can specify parameters like e_c (Event Category), e_a (Event Action), and e_n (Event Name) to record interactions directly into Matomo.
Is it possible to see which reports are available for my Matomo instance? +
Absolutely. Run the get_report_metadata tool for your idSite. It will list all available API functions, their descriptions, and the metrics they provide.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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