Mainstay (AdmitHub) MCP. Audit student records and track engagement campaigns
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Mainstay (AdmitHub) connects your AI agent to student success data. Use it to manage contacts, track engagement campaigns, and audit message logs directly from the platform's core records.
It lets you pull specific student details, see which marketing nudges are running, and review the full transcript of chat interactions without leaving your chat window.
What your AI agents can do
Get contact details
Gets specific, detailed information for a single student record using their ID.
List campaigns
Lists all active and historical engagement campaigns running through Mainstay.
List contacts
Retrieves a master list of all student contacts in the system, providing IDs for subsequent calls.
Call get_contact_details or list_contacts to pull specific student records, checking for up-to-date contact information.
Use list_campaigns to list all active and past initiatives, confirming what type of outreach is running right now.
Run list_messages to retrieve conversation logs detailing every exchange between a student and the automated chatbot.
Call list_custom_fields to see what metadata is available. This helps you know how to segment students for personalized outreach.
Your agent can read and write student data, ensuring that records are always current across the institution's systems.
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Mainstay (AdmitHub): 5 Tools for Admissions Records
Use these five specialized tools to query student records, campaigns, and message activity through your AI agent.
019d75cdget contact details
Gets specific, detailed information for a single student record using their ID.
019d75cdlist campaigns
Lists all active and historical engagement campaigns running through Mainstay.
019d75cdlist contacts
Retrieves a master list of all student contacts in the system, providing IDs for subsequent calls.
019d75cdlist custom fields
Lists available metadata fields. You use this to know what data points you can segment or personalize on.
019d75cdlist messages
Retrieves the conversation logs, showing all messages exchanged between students and the chatbot.
Choose How to Get Started
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What you can do with this MCP connector
This server connects your AI agent directly to Mainstay's core student data, letting you manage everything related to student success right inside your chat window. You don't gotta leave the chat to pull up a full profile or check out what kind of outreach is going down. It gives your agent access to granular details on contacts, campaign status, and every single message exchanged.
To start pulling data, you first grab a master list using list_contacts. This tool pulls every student contact ID in the system; it's the prerequisite step for everything else. Once you've got that list of IDs, you can then drill down into specific records with get_contact_details. That lets your agent retrieve all the detailed information for one single student profile using only their unique ID.
It keeps all the contact data—the stuff you need to know—up-to-date across whatever systems you're running.
For personalization, you gotta check what metadata Mainstay uses. Running list_custom_fields shows your agent exactly what segmenting points are available. Knowing these fields is key; it lets you build out personalized outreach because you know precisely how to slice up the student body. This capability means you can tailor communications instead of sending blanket messages.
When it comes to tracking engagement, list_campaigns shows every single active and historical campaign running through Mainstay. You'll see what type of marketing nudge is scheduled or if a past initiative needs reviewing. It confirms the outreach strategy in real time.
Finally, you can audit the conversation history using list_messages. This tool retrieves detailed logs showing every message that has been exchanged between any student and the automated chatbot. You're not just guessing what happened; your agent pulls up a full transcript of all chat interactions, letting you track exactly what was discussed over time.
How Mainstay (AdmitHub) MCP Works
- 1 Subscribe to this server and enter your Mainstay API Token.
- 2 Direct your AI client (like Claude or Cursor) to call
list_contactsfirst. This establishes the central list of student IDs you need. - 3 Use those retrieved contact IDs in subsequent calls to
get_contact_details,list_campaigns, andlist_messagesto build a full profile.
The bottom line is, your agent uses natural language commands to chain together these five specialized tools to pull a complete view of any student record.
Who Is Mainstay (AdmitHub) MCP For?
This tool is for the people who live in the overlap between marketing and data science. If you're an Institutional Researcher tired of manually cross-referencing Excel sheets, or an Admissions Officer who needs to know why a prospect stopped engaging last week—this is your API. It moves student success workflow out of dashboards and into conversation.
Retrieves message logs (list_messages) and behavioral data to find patterns in how students interact with admissions materials.
Automates checking student records using get_contact_details and monitors engagement health across multiple campaigns via list_campaigns.
Audits prospect inquiries by calling list_messages to quickly review chat transcripts and check campaign performance with list_contacts.
What Changes When You Connect
- You get a full picture of student behavior by calling
list_messages. Instead of reading dozens of chat logs in the UI, your agent summarizes key inquiries and success rates for you. - Track exactly what's running with
list_campaigns. You instantly know if 'Financial Aid Reminders' is active or if a campaign was paused, giving you immediate operational visibility. - Avoid data silos by using
get_contact_detailsalongsidelist_contacts. This lets your agent build a single, comprehensive profile for any student without manual lookups. - Personalize outreach effectively. By calling
list_custom_fields, you see all available metadata buckets—like 'Major' or 'Intended Start Date'—and can tell the agent to use them in targeted nudges. - Streamline data maintenance by using the combination of
get_contact_detailsandlist_contacts. It ensures that every record your team relies on is synced up-to-date.
Real-World Use Cases
Figuring out why a student dropped off.
A Student Success Officer knows Jane Doe stopped responding. They ask their agent to run list_messages for her contact ID. The agent pulls the last 20 messages and reports that she asked three times about housing deadlines, which points directly to the problem area.
Auditing a major recruitment push.
The Admissions Director wants to know if the recent 'Virtual Tour' campaign was effective. They use list_campaigns first, then ask the agent to cross-reference that campaign ID with student activity logs via get_contact_details. This shows which students were active and which ones weren't.
Preparing for a segmented email blast.
An Enrollment Manager needs to target only first-gen students in the engineering department. They run list_custom_fields to confirm the metadata exists, then use that knowledge with get_contact_details to pull a clean list of IDs ready for segmentation.
Getting a status report on all leads.
An Institutional Researcher needs a snapshot of every lead. They start by running list_contacts. The agent processes this master list, showing the count and last activity date for each record without requiring multiple exports or reports.
The Tradeoffs
Assuming one call gives everything
Asking the AI agent simply to 'Get Jane Smith's full profile.' This will only trigger get_contact_details and misses crucial data like her message logs or campaign status.
→
To get a complete view, you need a sequence: 1) Use list_contacts to confirm the ID. 2) Call get_contact_details. 3) Then call list_messages and list_campaigns separately using that ID for comprehensive coverage.
Copy-pasting data between systems
Running a report in the Mainstay dashboard, copying the IDs into Excel, then trying to manually update them elsewhere. This is slow and prone to errors.
→
Let your agent handle it. Use list_contacts to generate the list of records, and use its read/write capability via the API token to push updates directly back into Mainstay.
Searching for metadata without context
Trying to ask 'What fields are available?' without knowing if you need them for segmentation or reporting. The response is often too vague.
→
Always start with list_custom_fields first. This tells your agent the exact names of the data points, allowing you to then use those specific field names in targeted calls like get_contact_details.
When It Fits, When It Doesn't
Use this server if your core problem involves student lifecycle management and communication history. Specifically, if you need to cross-reference a contact's details (get_contact_details) against their recent chat activity (list_messages) AND what campaigns they were enrolled in (list_campaigns).
Don't use this server if your main goal is billing, physical logistics (like package tracking), or purely internal HR data. If you only need to track payments, look for a dedicated finance API instead. You can use list_custom_fields to see what data fields exist, but the actual connection and retrieval of behavioral metrics require multiple tool calls working together.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mainstay. 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 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking student engagement shouldn't mean opening five different tabs.
Today, figuring out a student’s full status is an exercise in manual data collection. You open the contact list, you jump to the campaign dashboard to see if they were targeted last week, and then you have to manually review chat logs for answers. You spend minutes just stitching together one profile.
With this MCP server, your agent handles all that cross-referencing conversationally. Instead of clicking through dashboards, you tell your client: 'What's the status of Jane Doe?' It runs `get_contact_details`, checks her campaign history via `list_campaigns`, and summarizes recent chats from `list_messages`—all in one response.
Mainstay (AdmitHub) MCP Server: Get a full picture of student records.
The old way meant running multiple reports and then spending an hour cross-referencing IDs. You'd get five separate data dumps that you had to manually join in a spreadsheet, hoping all the key identifiers matched up.
Now, your agent coordinates those calls for you. It uses `list_contacts` to anchor the job, then systematically pulls campaign metadata and message logs using those specific keys. The output is an immediate, structured answer—no spreadsheets required.
Common Questions About Mainstay (AdmitHub) MCP
How do I find all student IDs? Does `list_contacts` work? +
Yes, calling list_contacts provides the master list of every contact ID in your system. This is usually the first step because those IDs are necessary for running any other specific queries.
Can I see what campaigns a student was part of? +
You can check this by using list_campaigns to list all available initiatives, and then combining that knowledge with the contact ID when asking your agent for details on that specific student.
`list_messages` is confusing. What does it actually retrieve? +
It retrieves message logs. This means you get the full transcript of conversations between the students and the chatbot, allowing you to audit what was said and when.
How do I find out what kind of data I can personalize with? +
You must call list_custom_fields. This tool tells your agent exactly what metadata fields exist in Mainstay, like 'Program Interest' or 'Graduation Year,' so you know how to segment students.
What credentials do I need to run `get_contact_details`? +
You must provide a valid Mainstay API Token. This token authenticates your agent and grants it access to the student records you need. Always store this key securely in your client environment variables.
If I use `list_messages`, is there a limit on how far back the chat logs go? +
The tool retrieves message logs based on time parameters you specify. For very large volumes, always include date range filters to avoid hitting rate limits or timeouts.
How do I use `list_custom_fields` data when updating a student record? +
The metadata returned by list_custom_fields tells your agent exactly what fields exist. You feed these field names into the update request to ensure you modify the correct piece of student information.
How can I cross-reference campaign activity with specific student data using both `list_campaigns` and `get_contact_details`? +
You run the two tools sequentially. First, use list_campaigns to identify relevant campaigns. Then, pass that campaign ID when querying get_contact_details for targeted records.
Where do I find my Mainstay API Token? +
Log in to the Mainstay Mascot application, navigate to the API Authentication page. You can generate or retrieve your unique token there. If you don't see this page, contact support@mainstay.com.
Can I see real-time student message logs? +
Yes! Use the list_messages tool to retrieve the most recent conversational exchanges between students and the AI bot.
Does this server support custom field management? +
Yes, you can use the list_custom_fields tool to audit the metadata architecture used for personalizing your engagement nudges.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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