Can my AI automatically enroll a user into multiple courses at once?

Yes! Your agent can iterate through multiple `enroll_student` calls for each target course ID, automating complex onboarding sequences in seconds.

How do I find my AcademyOfMine Subdomain?

Your subdomain is the first part of your portal URL. For example, if you log in at `company.aomlms.com`, your subdomain is `company`.

Can I retrieve the full curriculum for a specific course?

Yes! Use the `get_course_curriculum` tool with the unique Course ID. The agent will return a list of all modules and lessons within that course.

AcademyOfMine MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: AcademyOfMine
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="AcademyOfMine Specialist",
    goal="Help users interact with AcademyOfMine effectively",
    backstory=(
        "You are an expert at leveraging AcademyOfMine 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 AcademyOfMine "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 AcademyOfMine MCP Server

Connect your AI agents to AcademyOfMine (AOM), the all-in-one platform for training and compliance. This MCP provides 11 tools to automate course management, user registration, and enrollment workflows directly from your AI agent.

When paired with CrewAI, AcademyOfMine becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AcademyOfMine 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

Course Orchestration — List, create, and update courses and their curriculum structures without leaving your agent
Learner Management — Register new users, retrieve detailed profile information, and manage instructor accounts
Enrollment Automation — Enroll or remove students from courses programmatically based on business logic
Portal Configuration — Access and monitor default portal settings and configurations for your LMS instance

The AcademyOfMine MCP Server exposes 11 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.

How to Connect AcademyOfMine to CrewAI via MCP

Follow these steps to integrate the AcademyOfMine MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

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

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from AcademyOfMine

Why Use CrewAI with the AcademyOfMine MCP Server

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

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

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

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

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

AcademyOfMine + CrewAI Use Cases

Practical scenarios where CrewAI combined with the AcademyOfMine MCP Server delivers measurable value.

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

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

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

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

AcademyOfMine MCP Tools for CrewAI (11)

These 11 tools become available when you connect AcademyOfMine to CrewAI via MCP:

create_course

Create a new course profile

create_user

Create a new user account

enroll_student

Enroll a student in a course

get_course_curriculum

Retrieve the curriculum structure of a course

get_course_details

Get detailed information for a specific course

get_portal_settings

Retrieve LMS portal default settings

get_user_details

Get detailed information for a specific user

list_courses

List all courses available in the LMS

list_users

List learners and instructors in the portal

unenroll_student

Remove a student from a course

update_course

Update an existing course

Example Prompts for AcademyOfMine in CrewAI

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

"List all active courses in my AcademyOfMine portal and show their IDs."

"Enroll student 'user_777' into course 'crs_101'."

"Show me the curriculum details for course 'crs_advanced'."

Troubleshooting AcademyOfMine MCP Server with CrewAI

Common issues when connecting AcademyOfMine to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

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

Agent not using tools

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

Timeout errors

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

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.

AcademyOfMine + CrewAI FAQ

Common questions about integrating AcademyOfMine MCP Server with CrewAI.

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.

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.

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.

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.

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.