Howuku MCP. Analyze user behavior, not just traffic numbers.
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Howuku MCP Server analyzes user behavior by tracking projects, session recordings, and heatmaps. Your AI agent can list entire site projects, fetch specific session videos, view user-drawn heatmaps, and retrieve conversion funnels.
It gives you a complete view of how real people interact with your site, making it essential for UX research and product management.
What your AI agents can do
Get me
Retrieves the current authenticated user's profile information.
Get project
Gets detailed information for a specific Howuku project (site).
List events
Lists custom tracking events that have been set up for a project.
Retrieves the authenticated user's basic information.
Lists all Howuku projects (sites) or fetches specific details for one project.
Lists custom tracking events or conversion funnels for a given project.
Lists heatmaps or session recordings to show where users click and what they look at.
Lists visual feedback items or surveys to capture user sentiment and suggested improvements.
Ask AI about this MCP
Supported MCP Clients
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Howuku MCP Server: 10 Tools for Behavior Analysis
These tools allow your AI client to gather all user behavior data, including funnels, heatmaps, recordings, and feedback, in one place.
019d75b3get me
Retrieves the current authenticated user's profile information.
019d75b3get project
Gets detailed information for a specific Howuku project (site).
019d75b3list events
Lists custom tracking events that have been set up for a project.
019d75b3list feedback
Lists visual feedback items submitted by users for a project.
019d75b3list funnels
Lists the conversion funnels configured for a project.
019d75b3list heatmaps
Lists the heatmaps available for a project.
019d75b3list organizations
Lists all organizations linked to your account.
019d75b3list projects
Lists all available Howuku projects (websites) under your account.
019d75b3list recordings
Lists recorded user sessions for a given project.
019d75b3list surveys
Lists user surveys configured for a project.
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 Howuku, 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
Your AI agent uses the get_me tool to pull the authenticated user's basic profile info. It uses list_organizations to list all organizations connected to your account. For managing sites, the agent first runs list_projects to list every Howuku project (website) you own, then it can use get_project to pull detailed info for any specific project.
To track user actions, the agent can run list_events to list custom tracking events set up for a project, and it can use list_funnels to list the conversion funnels configured for that project. For visualizing behavior, the agent can use list_heatmaps to list available heatmaps for a project, and it can use list_recordings to list recorded user sessions for that project.
To analyze feedback, the agent can use list_feedback to list visual feedback items submitted by users, or it can use list_surveys to list user surveys configured for a project.
How Howuku MCP Works
- 1 First, tell your agent which site project you want to analyze using
list_projectsorget_project. - 2 Second, request the specific data you need—for example, list heatmaps using
list_heatmapsor fetch session videos withlist_recordings. - 3 Finally, your agent compiles the data by calling multiple tools, giving you a unified report on user flow, drop-off points, and recorded behavior.
The bottom line is, your AI client gathers all the raw user behavior metrics into a single, actionable data set.
Who Is Howuku MCP For?
This is for the Product Manager who needs to prove that a feature update actually helped, and the UX Researcher who needs to show stakeholders exactly where users got confused. If your job requires linking 'what happened' (behavior) to 'why it happened' (feedback), you need this. It helps you move past guessing and into concrete data.
Uses the server to track funnels (list_funnels) and heatmaps (list_heatmaps) to pinpoint exactly where users abandon the checkout process or hesitate on a page.
Runs list_recordings and list_feedback to analyze actual user sessions and understand the qualitative reasons behind poor conversion rates.
Uses list_events and list_projects to monitor custom tracking goals and ensure all necessary user interactions are being captured across multiple sites.
What Changes When You Connect
- See exactly where users struggle. By using
list_heatmapsandlist_funnels, your agent shows you exactly which sections of a page cause drop-offs, turning abstract data into visual pain points. - Understand the 'why' behind the data. You don't just see a drop-off; you use
list_recordingsto watch the actual session andlist_feedbackto read what the user said about it. - Manage multiple sites easily.
list_projectsgives you a master list of all your sites, so you don't have to switch contexts to check performance across your whole portfolio. - Keep track of custom goals. If you need to know when a user completes a specific action,
list_eventslets you list and verify those custom tracking goals for any project. - Streamline the research process. Instead of manually checking multiple dashboards, your agent calls
list_surveysandlist_feedbackto gather all user-submitted sentiment in one go.
Real-World Use Cases
The Checkout Drop-off Investigation
A PM notices conversion rates tanked last week. They ask their agent to investigate. The agent runs list_funnels to find the exact drop-off step, then calls list_heatmaps to see if users are struggling with a specific button, and finally uses list_recordings to watch the session video for the top 10 failed attempts. The drop-off is traced to confusing button placement.
Understanding Feature Adoption Failure
A PM wants to know why the new 'Pro' feature isn't sticking. They ask the agent to run list_projects to select the right site, then list_surveys to gauge sentiment. They cross-reference the survey results with list_events to see if the feature was even properly tracked, leading them to realize the tracking was never implemented.
Onboarding Flow Audit
The UX team suspects the onboarding process is confusing. They ask the agent to list the main site projects (list_projects), select the target site, and run list_recordings to review the first 50 sessions. They also use list_heatmaps to confirm if users are ignoring the key call-to-action area.
Gathering Competitive Feedback
The product team needs to know what users think about a new landing page. They use list_feedback to gather all submitted comments and list_surveys to get quantitative scores. The agent groups this data by project to compare performance against other site launches.
The Tradeoffs
Looking at only the conversion funnel.
You see a drop in the conversion funnel, but you don't know why. You just assume the traffic went elsewhere or the page changed, leaving you with a vague problem statement.
→
Start by calling list_heatmaps and list_recordings for the relevant project. This shows how users behaved right before the drop-off. Then, use list_feedback to understand the subjective reasons.
Manually tracking every single variable.
Spending hours checking list_events for 10 different goals, but forgetting to check if the events are correctly configured or if the data is clean.
→
Always start by running list_projects to ensure you are looking at the correct site, and then use get_project to verify the project details before checking list_events.
Mixing up site data with organization data.
Trying to run a report on Project A's data, but the agent mistakenly pulls data from the parent organization's general settings instead of the specific project instance.
→
First, use list_organizations to confirm the correct organizational context, and then use list_projects to narrow down the specific project ID before running any data tools like list_funnels.
When It Fits, When It Doesn't
Use this server if you need to answer the question: 'Why did the user fail to complete this action?' This is for deep behavioral analysis, linking observed actions (heatmaps, recordings) to stated intent (surveys, feedback). Don't use it if you just need simple traffic metrics (e.g., total unique visitors). For simple metrics, a general web analytics tool will suffice. If you only need to list available projects, list_projects handles that. But if you need to know how those projects are performing, you need the full suite of tools. Always validate the project scope first with list_projects to avoid pulling incorrect data.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Howuku. 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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually correlating funnels, heatmaps, and surveys is a nightmare.
Today, finding a drop-off point means jumping between the funnel dashboard, the heatmap view, and the survey results. You copy the drop-off percentage from one tab, paste the date into another, and then manually search for related comments. It takes minutes, and you almost always miss the critical connection.
With the Howuku MCP Server, your agent connects these views. It runs `list_funnels` to find the drop-off, then uses `list_heatmaps` and `list_recordings` to show *why* that drop-off happened, all from a single chat command. You get the insight, not just the data.
Using Howuku MCP Server: Getting a full behavior report
You no longer have to log into the platform, find the right project, and then run three separate reports. Your agent handles the sequence: it uses `list_projects` to select the site, `list_funnels` to map the path, and `list_recordings` to prove the failure point.
It's instant, contextual, and repeatable. Your agent doesn't just give you data; it builds the narrative of the user's journey, telling you exactly what went wrong and why.
Common Questions About Howuku MCP
How do I check if I have all the necessary projects using list_projects? +
Yes, running list_projects retrieves every site project connected to your account. This gives you a master list of all sites you can analyze with the server.
Can I use list_recordings to see behavior across multiple projects? +
No, list_recordings requires a specific project ID. You must first use list_projects to get the correct ID, and then pass that ID when calling list_recordings.
What is the difference between list_heatmaps and list_events? +
Heatmaps show where users looked and clicked on a page. Events track specific, discrete actions (like 'downloaded report'). You use list_heatmaps for visual flow, and list_events for measurable actions.
How do I check user sentiment using list_feedback? +
The list_feedback tool pulls user-submitted visual feedback items. It's designed to capture qualitative comments and suggestions directly related to specific parts of your site.
Does list_surveys help me understand conversion funnels? +
No. list_funnels tracks the sequence of steps a user takes. list_surveys lists structured feedback forms, giving you quantitative data about sentiment, which complements the funnel data.
How do I list all the organizations I'm connected to using list_organizations? +
It shows all organizations linked to your account. This is useful if you manage user data across multiple corporate accounts or teams.
If I need project details, should I use get_project? +
Yes, use get_project. It fetches the specific details for a project ID you provide. This is faster than listing all projects if you know exactly which one you need.
What can I do with list_funnels and list_projects? +
You first use list_projects to get all available sites. Then, you use list_funnels to see the conversion paths for a specific project ID.
Is this the same as VWO? +
Howuku was acquired by VWO. This MCP uses the Howuku API which is now part of the VWO ecosystem.
How do I get my Howuku API Key? +
You can find your API key in your Howuku/VWO dashboard under Account Settings > API Keys.
Can I see session recordings? +
The list_recordings tool provides metadata and links to view session recordings for your projects.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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