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MPU-Manager MCP Server for CrewAIGive CrewAI instant access to 10 tools to Check Mpumanager Status, Create Appointment, Create Case, and more

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to MPU-Manager through Vinkius, pass the Edge URL in the `mcps` parameter and every MPU-Manager tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The MPU-Manager app connector for CrewAI 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

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="MPU-Manager Specialist",
    goal="Help users interact with MPU-Manager effectively",
    backstory=(
        "You are an expert at leveraging MPU-Manager tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in MPU-Manager "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
MPU-Manager
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, MPU-Manager becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call MPU-Manager tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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.

check_mpumanager_status

Verify MPU Manager API connectivity

create_appointment

Schedule an appointment

create_case

Create a new case

get_appointment

Get appointment details

get_case

Get case details

get_client

Get client details

list_appointments

List all appointments

list_cases

List all cases

list_clients

List all clients

list_reports

List case reports

Connect MPU-Manager to CrewAI via MCP

Follow these steps to wire MPU-Manager into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from MPU-Manager

Why Use CrewAI with the MPU-Manager MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with MPU-Manager through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

MPU-Manager + CrewAI Use Cases

Practical scenarios where CrewAI combined with the MPU-Manager MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries MPU-Manager for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries MPU-Manager, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain MPU-Manager tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries MPU-Manager against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for MPU-Manager in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with MPU-Manager immediately.

01

"Show all active cases in my account."

02

"Schedule an appointment for case #4821 next Monday at 10am."

03

"List all clients registered in my account."

Troubleshooting MPU-Manager MCP Server with CrewAI

Common issues when connecting MPU-Manager to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

MPU-Manager + CrewAI FAQ

Common questions about integrating MPU-Manager MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.