Bring Medical Assessment
to Pydantic AI
Learn how to connect MPU-Manager to Pydantic AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the MPU-Manager MCP Server?
Connect your MPU-Manager account to any AI agent and take full control of your medical-psychological assessment (MPU) orchestration and automated case management through natural conversation.
What you can do
- Client Case Orchestration — List and manage your entire database of client files programmatically, retrieving detailed case metadata and legal statuses
- Appointment & Schedule Intelligence — Programmatically query and monitor assessment appointments to maintain a perfectly coordinated audit trail for your clinic
- Assessment Architecture Monitoring — Access real-time status updates for ongoing MPU cases and track document submission progress directly through your agent
- Metadata Management — Programmatically retrieve client identifiers and case history to maintain a perfectly coordinated digital archive
- Operational Monitoring — Verify account-level API connectivity and monitor case management volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API Key from your MPU-Manager dashboard (Settings > API)
3. Start orchestrating your case management from Claude, Cursor, or any MCP client
No more manual checking of paper files or missing critical assessment deadlines. Your AI acts as your dedicated case coordinator and clinic architect.
Who is this for?
- Clinic Managers — instantly retrieve case summaries and monitor appointment volume using natural language commands
- Legal Consultants — verify individual client metadata and track assessment history without leaving your creative workspace
- Developers — integrate high-speed MPU-Manager case data into custom internal tools through simple AI queries
Built-in capabilities (10)
Verify MPU Manager API connectivity
Schedule an appointment
Create a new case
Get appointment details
Get case details
Get client details
List all appointments
List all cases
List all clients
List case reports
Why Pydantic AI?
Pydantic AI validates every MPU-Manager tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MPU-Manager integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your MPU-Manager connection logic from agent behavior for testable, maintainable code
MPU-Manager in Pydantic AI
MPU-Manager and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect MPU-Manager to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for MPU-Manager in Pydantic AI
The MPU-Manager MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
MPU-Manager for Pydantic AI
Every tool call from Pydantic AI to the MPU-Manager MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your MPU-Manager MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai