MPU-Manager MCP. Automate client coordination and audit trails.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
MPU-Manager MCP Server lets your AI client run full case management for medical and psychological assessments. Use it to programmatically list clients, schedule appointments using `create_appointment`, or pull detailed records of a patient's history through tools like `get_case` and `list_clients`.
It handles the entire coordination loop for clinical teams.
What your AI agents can do
Check mpumanager status
Verifies the live API connection status between your AI agent and MPU Manager.
Create appointment
Schedules a new appointment for a client case, logging all necessary details.
Create case
Initiates and creates a brand new patient case file in the MPU system.
Retrieves specific details and history for any registered patient or client.
Books new appointments into the system calendar and confirms the booking details.
Provides a searchable roster of all active or historical patient cases and clients in the database.
Initiates a brand new client case file within the MPU system.
Verifies that the API connection between your AI agent and MPU-Manager is active and working.
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Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
MPU-Manager MCP Server: 10 Tools for Case Coordination
Use these tools to programmatically list clients, create new case files, schedule visits, and retrieve detailed records from the MPU-Manager system.
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 MPU-Manager on Vinkius019dd129check mpumanager status
Verifies the live API connection status between your AI agent and MPU Manager.
019dd129create appointment
Schedules a new appointment for a client case, logging all necessary details.
019dd129create case
Initiates and creates a brand new patient case file in the MPU system.
019dd129get appointment
Retrieves specific details for one scheduled appointment using its ID or associated client case.
019dd129get case
Pulls all detailed metadata and current status information for a single client case file.
019dd129get client
Retrieves basic demographic details and core identifying information for any client.
019dd129list appointments
Generates a list of all upcoming appointments, useful for auditing the clinic schedule.
019dd129list cases
Retrieves a comprehensive roster of every existing case file in your account.
019dd129list clients
Provides an exhaustive list of all registered clients and their basic contact information.
019dd129list reports
Lists available historical reports associated with a specific case, helping track past assessments.
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 MPU-Manager, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ 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 MPU-Manager. 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.
Coordinating patient care shouldn't feel like juggling three different systems.
Right now, coordinating even one client’s journey means jumping between the main portal dashboard, the separate scheduling tool, and then digging into a historical records tab. You copy an ID from one screen and paste it into another. If you miss a click or forget which report is attached to which file, you lose time—and potentially critical data.
With MPU-Manager MCP Server, your agent handles the handoffs. You tell the AI: 'Get me client X’s status and schedule a follow-up.' The agent runs `get_client`, confirms their details, then uses that context to execute `create_appointment`. It's one command; you get one clean answer.
MPU-Manager MCP Server: Get full control over client records.
The manual steps that vanish are the constant need to log in, navigate by date range, and cross-reference IDs. You stop manually checking if Case #123 has a report attached or if the appointment scheduled yesterday actually made it into the system's calendar.
You don't just manage data; you run the entire operational flow from one chat window. It’s that simple.
What you can do with this MCP connector
This server connects your AI agent directly to MPU Manager's case system, letting you run full client care coordination without clicking through dashboards. You can manage patient files and appointments entirely conversationally.
System Status & Client Roster
You gotta check the connection first. Use check_mpumanager_status to verify that your agent is properly linked to MPU Manager. To start, you'll pull a full roster of everyone registered by running list_clients, which gives you basic contact details for every client. For specific demographic data on one person, use get_client.
If you need a comprehensive list of every case file that exists in the system, run list_cases.
Managing Cases and History
When you're starting a new patient, you initiate the record using create_case, which builds the brand-new file inside MPU. To check up on an existing client’s status, use get_case. This tool pulls all detailed metadata and current standing information for that specific case file. For tracking past care, call list_reports; this lists every historical assessment report tied to a certain case.
You can also review the details of any scheduled session by calling get_appointment, supplying either its unique ID or the associated client case.
Scheduling and Coordination
To book an appointment, you use create_appointment. This schedules the new visit into the system calendar and logs all necessary data points. If you need to audit the clinic's schedule, run list_appointments; it generates a list of every upcoming booking. For deep client records, beyond just basic info, if you need specific details about one person, you use get_client.
These tools together let your agent manage the entire clinical coordination loop.
019dd129-eb83-70e2-b557-5e1a73f83325 
How MPU-Manager MCP Works
- 1 Subscribe to the server and retrieve your dedicated API Key from MPU-Manager.
- 2 Provide the key and context (e.g., 'Schedule an appointment for Case #123') to your AI agent.
- 3 The agent executes the necessary tool call (
create_appointment,get_case, etc.) and delivers a natural language summary of the result.
The bottom line is, you talk to your AI client like talking to an office coordinator; it runs the backend tasks for you.
Who Is MPU-Manager MCP For?
This server is for clinic managers and legal consultants who are tired of juggling physical files, multiple dashboards, and spreadsheet errors. If coordinating complex patient assessments or scheduling audits is your job, this saves hours of repetitive data entry and verification.
Manages daily operations by listing appointments (list_appointments), checking active case statuses, and onboarding new clients.
Verifies client metadata and tracks assessment history across multiple records without needing to log into the core MPU platform directly.
Creates new cases (create_case) and schedules follow-up appointments for patients in bulk, maintaining perfect chronological order.
What Changes When You Connect
- Stop manually checking case files. Using
list_casesgives your agent an instant, searchable roster of every patient file, so you never lose track of a record again. - Scheduling is immediate. Instead of logging into the portal to book a follow-up, just tell your agent to run
create_appointment, and it gets logged right away. - Client data retrieval is fast. Need to know who 'John Doe' is? Running
get_clientpulls all essential identifying details in one shot, skipping the multiple search forms. - Maintain a perfect audit trail by listing appointments with
list_appointments. You see every scheduled visit and when it was booked without clicking through calendars. - Streamline onboarding. When you need to start care for someone new, running
create_casehandles the entire initial file setup instantly. - Track everything at once. The combination of
get_client,get_case, andlist_reportslets your agent summarize a client's full journey—from first contact to latest assessment.
Real-World Use Cases
The end-of-day audit.
A clinic manager needs to verify if the three high-priority patients scheduled today have their preliminary assessments logged. They ask their agent: 'Check status for Case #4821, #9002, and #775.' The agent runs get_case on all three IDs, summarizing which ones are missing required documents immediately.
Handling an emergency scheduling conflict.
A client needs to reschedule their assessment from next week. Instead of calling the front desk and manually updating records, they instruct their agent: 'Change Case #123's appointment.' The agent uses get_appointment first, then executes create_appointment with the new date.
Client background check for legal review.
A legal consultant needs to prove a client’s full assessment history. They ask the agent to pull all data: 'Get me all reports and details for Jane Smith.' The agent runs get_client followed by list_reports, delivering a complete, structured history.
Onboarding a new patient cohort.
A medical admin has 10 patients arriving next week. Instead of manually creating 10 files, they tell the agent: 'Create 10 new cases for this group.' The agent uses create_case repeatedly, logging them all instantly.
The Tradeoffs
Assuming a list is enough.
Asking the AI: 'Show me John Doe's case details.' If you only run list_cases, it just gives you a list of IDs and names, not the actual data or status.
→
You must use get_case (or get_client) and provide the specific Case ID to retrieve the detailed metadata you need. Never rely on listing alone.
Trying to schedule without a case ID.
Telling the agent: 'Book an appointment for Monday.' The system won't know whose account this is, so the action fails.
→
First, use list_clients or get_client to identify the correct client. Then, tell the agent: 'Schedule an appointment using the ID from the last search.' This links the two actions.
Checking status when offline.
Running any tool without first calling check_mpumanager_status. You waste time generating a perfect prompt, only for the agent to fail on connectivity.
→
Always start by checking the connection: 'First, run check_mpumanager_status.' If that returns successful, then proceed with your main task.
When It Fits, When It Doesn't
Use this server if your primary job involves coordinating patient care across multiple data points—scheduling, file creation, and status verification. You need a single point of truth for assessment records.
Don't use it if you just need simple contact information; list_clients handles that fine. But if you need the details (like legal status or history), you have to run get_client. If your process is always: 1) Find client, 2) Get details, 3) Schedule follow-up, this suite of tools supports it perfectly.
Don't use it if you are only managing billing records; that requires a separate financial tool. This server focuses entirely on the clinical lifecycle (case/appointment management).
Common Questions About MPU-Manager MCP
How do I list all clients using `list_clients`? +
Running list_clients pulls a comprehensive roster of every client in the database. This is useful for getting an overview when you don't have specific IDs, giving you names and basic contact info.
Can I check if my API key works with `check_mpumanager_status`? +
Yes, that tool verifies the live connection between your AI agent and MPU-Manager. Always run this first before trying to schedule or get case details so you know your setup is active.
Does `create_appointment` automatically make a new case? +
No. You must usually use get_client or list_clients first to ensure the client exists and has an associated ID before running create_appointment. The tool needs context.
What is the difference between `get_case` and `get_client`? +
get_client gives you core demographic data (name, contact). get_case provides the full assessment context—the actual case file metadata, status, and history.
How do I use `list_reports` to pull all historical documents for a case? +
The tool pulls metadata for every associated report. You pass the client or case ID, and it returns a list of reports along with their dates and document types. Your agent then directs you on which specific file to retrieve.
What happens if I try to use `create_appointment` for an already booked time slot? +
The tool recognizes the conflict and returns a structured error message detailing the overlapping booking. You can then adjust the date or suggest alternative times directly through your agent.
Does `list_cases` handle very large databases, or do I need to worry about rate limits? +
The server supports pagination for listing cases. If you query more records than available in a single call, the response includes a cursor or page token so your agent can automatically fetch the next batch.
What specific data fields do I get when I run `get_client`? +
It returns core client demographics and primary contact details. This includes unique identifiers, associated legal status flags, and a summary of their active case count.
How do I create a new case via AI? +
Use the create_case tool with a client ID and description. The case is opened immediately in your MPU Manager account.
Can I schedule appointments from my agent? +
Yes. Use create_appointment with case ID, date (ISO 8601), and location to schedule a new appointment instantly.
How do I view reports for a specific case? +
Use list_reports with the case ID to retrieve all generated reports including type, date, and current status.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.