How to Use the AcademyOfMine MCP in CrewAI

Q: How do I configure the AcademyOfMine MCP Server for CrewAI?

Pass your Vinkius endpoint directly into the mcps array when defining your agent. The framework handles the connection and loads the tools automatically.

Q: Can I restrict which AcademyOfMine MCP Server tools a specific CrewAI agent uses?

Yes. Import MCPServerHTTP from crewai.mcp and apply a toolfilter. This lets you give one agent read-only access while another gets permission to modify records.

Deploy autonomous multi-agent teams to manage your AcademyOfMine LMS with CrewAI and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AcademyOfMine MCP to CrewAI

Create your Vinkius account to connect AcademyOfMine to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup AcademyOfMine with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate AcademyOfMine MCP Servers

The `get_course_details` tool feeds raw data to your research agent. That agent analyzes completion rates and identifies which training modules need a refresh. It then passes a summary to an execution agent. The second agent drafts the new syllabus and uses the `update_course` endpoint to push those changes live without human intervention.

Manage Student Cohorts Automatically

You can assign a monitor agent to watch your HR database for new hires. When it detects a change, it triggers a specialized onboarding agent equipped with LMS access via the MCP Server. This onboarding specialist calls `create_user` to provision access. It immediately follows up with `enroll_student` to assign mandatory compliance training based on the employee's specific role.

Audit Portal Settings and Users

A dedicated compliance agent runs nightly checks using `get_portal_settings` to ensure security configurations match company policy. It flags any deviations in a shared memory space. Another agent pulls the active roster via `list_users`. It cross-references the list against terminated employees and fires `unenroll_student` to revoke access, keeping your licensing costs down.

Setup guide

Set up AcademyOfMine MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AcademyOfMine tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AcademyOfMine Analyst",
    goal="Access and analyze AcademyOfMine data via MCP.",
    backstory="Expert analyst with direct AcademyOfMine access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AcademyOfMine transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AcademyOfMine Analyst",
        goal="Access and analyze AcademyOfMine data via MCP.",
        backstory="Expert analyst with direct AcademyOfMine access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AcademyOfMine transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AcademyOfMine. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AcademyOfMine now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AcademyOfMine MCP in CrewAI

Pass your Vinkius endpoint directly into the `mcps` array when defining your agent. The framework handles the connection and loads the tools automatically.

Yes. Import `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This lets you give one agent read-only access while another gets permission to modify records.

They do. If Agent A fetches a curriculum, Agent B can reference that exact structure later in the sequence without making a redundant API call to the LMS.

The Python package supports stdio, SSE, and Streamable HTTP. Just provide the URL and the system negotiates the correct protocol with the hosted endpoint.

Our infrastructure isolates every connection inside a V8 sandbox. When your agents process student names and enrollment IDs, the temporary environment destroys that data the second the task finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript