MPU-Manager MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Mpumanager Status, Create Appointment, Create Case, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MPU-Manager through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The MPU-Manager app connector for Pydantic AI is a standout in the Erp Operations category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to MPU-Manager "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in MPU-Manager?"
)
print(result.data)
asyncio.run(main())
* 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
About 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.
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.
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
The MPU-Manager MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 MPU-Manager tools available for Pydantic AI
When Pydantic AI connects to MPU-Manager through Vinkius, your AI agent gets direct access to every tool listed below — spanning medical-assessment, case-management, appointment-scheduling, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect MPU-Manager to Pydantic AI via MCP
Follow these steps to wire MPU-Manager into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the MPU-Manager MCP Server
Pydantic AI provides unique advantages when paired with MPU-Manager through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MPU-Manager integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your MPU-Manager connection logic from agent behavior for testable, maintainable code
MPU-Manager + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the MPU-Manager MCP Server delivers measurable value.
Type-safe data pipelines: query MPU-Manager with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple MPU-Manager tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query MPU-Manager and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock MPU-Manager responses and write comprehensive agent tests
Example Prompts for MPU-Manager in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with MPU-Manager immediately.
"Show all active cases in my account."
"Schedule an appointment for case #4821 next Monday at 10am."
"List all clients registered in my account."
Troubleshooting MPU-Manager MCP Server with Pydantic AI
Common issues when connecting MPU-Manager to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMPU-Manager + Pydantic AI FAQ
Common questions about integrating MPU-Manager MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.