Jebbit MCP for AI. Extract user behavior and segment audiences.
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Jebbit allows your AI client to analyze zero-party consumer data collected from interactive experiences like quizzes and surveys. It retrieves detailed attributes, tracks active audience segments, and lists all available content for marketing automation planning.
Use this MCP to automate insights gathering on purchase intent, color preferences, and user behavior without manual dashboard checks.
What your AI can do
Get account
Verifies your Jebbit account details and current status.
Get experience
Retrieves detailed results for a specific quiz or survey experience.
List attributes
Lists all zero-party consumer attributes, such as purchase intent or favorite color, captured across experiences.
Verifies the current operational status and core settings for your connected Jebbit account.
Retrieves a list of all interactive content, such as quizzes or surveys, that you can analyze.
Gathers specific zero-party data points captured during experiences, detailing things like user preferences and purchase intent.
Lists all defined audience groups, making it easy to target high-value cohorts for marketing efforts.
Checks the status of large data requests, ensuring that complex reports finish when you expect them to.
Ask an AI about this
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Jebbit: 10 Tools for Audience & Experience Data
These tools let your agent access specific functions within Jebbit, covering everything from checking account status to pulling consumer attributes and segment lists.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Jebbit on VinkiusGet Account
Verifies your Jebbit account details and current status.
Get Experience
Retrieves detailed results for a specific quiz or survey experience.
List Attributes
Lists all zero-party consumer attributes, such as purchase intent or favorite color...
List Campaigns
Lists every active marketing campaign tied to your interactive content.
List Experiences
Returns a list of all available interactive experiences by name, ID, and publication...
List Integrations
Lists all external platforms currently connected to your Jebbit account for data flow verification.
List Reporting Jobs
Checks the status and history of large, asynchronous data reporting requests.
List Segments
Retrieves a list of defined audience segments for targeted marketing efforts.
List Users
Lists all users who have access to the platform, useful for auditing permissions.
List Webhooks
Displays a list of configured webhooks used for system integration and data flow...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Jebbit integration is available immediately — no restart needed.
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 Jebbit, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jebbit. 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 connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Getting consumer behavior requires jumping between dashboards.
Today, if you want to know what your users care about, you’re stuck clicking through five different platforms. You jump from the quiz tool to the campaign dashboard, then into the segment manager just to see who's interested in buying something. Then you have to manually copy-paste those lists into a spreadsheet and wait for someone to run a report.
With this MCP, your agent does all that work for you. You ask it to gather consumer attributes or list segments; it pulls the data from every source and hands you one clean output. It’s immediate insight, not manual assembly.
Getting user insights with `list_attributes`
The biggest time sink is figuring out what data points actually matter. You spend hours confirming if 'favorite color' was captured during the last campaign, or if 'purchase intent' even exists in your current setup. This requires cross-referencing content lists with attribute definitions.
Now, you just run `list_attributes`. The agent immediately shows you every single zero-party data point captured across all experiences. You know exactly what consumer insights are available to build campaigns.
What your AI can actually do with this
This MCP gives your agent access to deep consumer data gathered from interactive experiences. Instead of manually checking multiple dashboards to see what users are interested in, you can ask the agent to gather that information directly. It lets you list all available content, check which audience segments were created, and pull specific attributes—like a user's stated favorite color or their purchase intent score.
By connecting this via Vinkius, your AI client gets a single source of truth for behavioral insights. You can monitor reporting jobs status and verify account details, making sure every piece of data you need is always available to build better campaigns.
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Here's how it actually works
The bottom line is, you move from asking 'where is the data?' to simply asking 'what does the data say?'
First, your agent uses list_experiences or list_attributes to identify the specific content and data points needed for the analysis.
Next, it calls a function like get_experience or list_segments to retrieve the actual consumer records, segment definitions, or account details.
Finally, your agent processes this raw data—for example, using list_reporting_jobs—to deliver actionable insights about user behavior.
Who is this actually for?
This MCP is for Digital Marketing Analysts and Growth Managers who spend too much time stitching together insights from multiple campaign sources. It helps you move past raw numbers and start acting on behavioral predictions.
Needs to pull specific data points, like list_attributes, across dozens of campaigns to find common consumer patterns.
Uses the MCP to list and verify audience segments (list_segments) so campaign teams know exactly who they're targeting next week.
Requires checking account details (get_account) and listing active campaigns (list_campaigns) before launching a new user flow to ensure proper setup.
What Changes When You Connect
Instead of checking multiple tabs, you can get a list of all available content using list_experiences. Your agent knows exactly what interactive tools are ready for analysis.
Pinpoint consumer intent. Use list_attributes to pull specific zero-party data points—things like favorite color or purchase likelihood—that drive targeting decisions.
Automate audience definition. The list_segments tool lets you instantly identify and work with high-value user groups without manual segment building.
Track everything automatically. If a large report is running, use list_reporting_jobs to check its status instead of waiting by the dashboard.
Verify your setup quickly. Check account health using get_account or audit data flow paths by listing integrations with list_integrations.
See it in action
Need to launch a targeted campaign based on quiz results.
A Growth Manager needs to run a new ad targeting people who showed high purchase intent. They ask their agent to first list_attributes to confirm 'purchase_intent' exists, then use that data to build or validate a segment via list_segments, and finally get the list of all active campaigns using list_campaigns before building the campaign.
Auditing platform access for compliance.
The Compliance Officer needs assurance that only authorized personnel can see sensitive data. They instruct their agent to run list_users and cross-reference it with list_webhooks to confirm who has system access and where external data is being sent.
Investigating a sudden drop in content visibility.
The Content Strategist notices some quizzes aren't showing up. They ask their agent to run list_experiences to get the full list of IDs and publication statuses, immediately identifying which interactive content needs fixing.
Verifying data sources before a major project.
The Dev Team Lead must ensure all necessary data streams are connected. They run list_integrations to confirm connections and then check get_account to verify the core API status before writing any code.
The honest tradeoffs
Assuming a single list holds all necessary data.
A user sees 'user attributes' in one place and thinks they can get everything just by calling list_attributes. They fail to realize that specific segment definitions are stored separately.
To get the full picture, you need two steps: first, call list_segments to see existing high-level groups. Then, use list_attributes to pull the underlying data points that define those segments.
Ignoring job status during large pulls.
Asking the agent to dump all historical reporting data without checking its completion status leads to timeouts and incomplete results. The call fails silently, leaving the user with bad data.
Always check list_reporting_jobs first. This confirms if a report is pending or finished before your agent attempts to pull the final dataset.
Over-relying on general account details.
Only checking basic connectivity with get_account and assuming all data models are available. You might miss out on granular details like specific segment definitions.
After verifying the account, always run targeted checks: use list_segments to confirm audience groups exist, or list_experiences to see what content is ready for analysis.
When It Fits, When It Doesn't
Use this MCP if your goal involves understanding why users behave a certain way. You need to move beyond simple metrics and correlate zero-party attributes (like purchase intent) with the actual interactive experiences they took. If you only need basic user account checks or simply listing available services, then get_account or list_users are enough. However, if your goal is purely data warehousing—just dumping millions of raw records without context—you might be better off using a dedicated database connector instead; this MCP focuses on structured behavioral insights and segment management.
Questions you might have
How do I check which quizzes or surveys are active in Jebbit using `list_experiences`? +
You run list_experiences. This returns the names, IDs, and current publication status for all your interactive content. It's the first step to knowing what data is available.
What does `list_attributes` show me about consumer behavior? +
list_attributes shows you every unique zero-party data point collected, like 'purchase intent' or 'favorite color'. This tells you the specific insights you can use for targeting.
Can I see which marketing campaigns are tied to my user base using `list_campaigns`? +
Yes. Running list_campaigns retrieves a comprehensive list of every active campaign that uses your interactive content, helping you map your efforts.
What should I check if my large reports are failing using `list_reporting_jobs`? +
You use list_reporting_jobs to check the status of previous data requests. This tells you if a job failed, succeeded, or is still running.
How do I verify my account status before running complex queries using `get_account`? +
You use get_account to retrieve your current account details. This is the best way to confirm that the MCP has all necessary permissions and that your connection credentials are active.
If I need to audit who can access my data, what does `list_users` show me? +
list_users provides a complete roster of every platform user. This is essential for security checks and identifying which accounts have permission to run reports.
How do I check which other platforms are receiving data from Jebbit using `list_integrations`? +
Running list_integrations shows all external systems currently connected. This confirms that your zero-party data is flowing correctly to every intended marketing platform.
If I want to target specific high-value groups, what does `list_segments` retrieve? +
list_segments retrieves a list of all defined audience cohorts. This helps you narrow down your efforts and focus campaigns only on the most valuable customer segments.
How do I get Jebbit API credentials? +
You need a Client ID and Client Secret. Please contact your Jebbit account representative or visit the developer settings in your Jebbit dashboard to obtain these credentials.
What is zero-party data? +
Zero-party data is data that a customer intentionally and proactively shares with a brand, often through interactive experiences like quizzes or surveys.
Can I see campaign performance? +
Yes, the list_reporting_jobs and get_experience tools allow you to access data related to how users are interacting with your Jebbit content.
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