How to Use the MSAAQ MCP in CrewAI

Q: How do I configure the MSAAQ MCP Server within CrewAI?

Install crewai and crewaitools, then pass your Vinkius MSAAQ server URL directly in the mcps array of your Agent. CrewAI automatically discovers and configures the tools for your agents.

Q: Can I restrict specific CrewAI agents from accessing MSAAQ admin tools?

Yes, use MCPServerHTTP with a toolfilter to limit tool exposure. This prevents a student-facing CrewAI agent from calling admin tools like listregisteredusersadmin.

Q: How does CrewAI protect MSAAQ user profiles and certificate data?

Vinkius processes all CrewAI data from tools like getloggedinuserprofile inside isolated sandboxes. Your MSAAQ student profiles and certificate records are never saved or analyzed by the hosting layer.

Deploy a specialized crew of collaborative agents to manage MSAAQ courses and enrollments autonomously in CrewAI via our managed 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 MSAAQ MCP to CrewAI

Create your Vinkius account to connect MSAAQ 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 MSAAQ with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Collaborative student management in CrewAI

The `list_available_learning_courses` tool allows your research agent to scan active catalogs inside a CrewAI team. CrewAI allows you to set up a multi-agent team where one agent researches course listings and another handles registration. The registrar agent then takes that course ID and executes `enroll_student_in_course` for the target student. This division of labor keeps your MSAAQ operations clean and prevents individual CrewAI agents from getting overwhelmed.

Multi-agent academic performance analysis

The `get_course_performance_stats` tool gives your analyst agent the raw metrics needed to monitor classroom health. Monitor your digital classroom by assigning a specialized CrewAI analyst agent to watch your MSAAQ metrics. If an MSAAQ course shows high drop-out rates, a separate CrewAI advisor agent queries `list_all_courses_admin` to compare structure and content. The agents collaborate to draft a report detailing which modules need attention.

Autonomous credential auditing with MSAAQ MCP Server

The `list_student_certificates` tool lets your audit agent retrieve graduation records for autonomous verification. Let your CrewAI agents handle the tedious work of verifying student credentials using the MSAAQ MCP Server. A second CrewAI verification agent cross-references those records against `verify_issued_certificate` to confirm authenticity. The crew compiles a clean MSAAQ audit trail, flagging any discrepancies for human review.

Setup guide

Set up MSAAQ 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 MSAAQ tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent MSAAQ 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="MSAAQ Analyst",
        goal="Access and analyze MSAAQ data via MCP.",
        backstory="Expert analyst with direct MSAAQ access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent MSAAQ 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 MSAAQ. 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 MSAAQ 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 MSAAQ MCP in CrewAI

Install `crewai` and `crewai[tools]`, then pass your Vinkius MSAAQ server URL directly in the `mcps` array of your Agent. CrewAI automatically discovers and configures the tools for your agents.

Yes, use `MCPServerHTTP` with a `tool_filter` to limit tool exposure. This prevents a student-facing CrewAI agent from calling admin tools like `list_registered_users_admin`.

CrewAI agents use shared memory to pass MSAAQ course IDs from `list_available_learning_courses` to subsequent tasks. This allows direct handoffs without manual variable mapping.

CrewAI supports stdio, SSE, and Streamable HTTP transports. When hosted on Vinkius, your CrewAI agents connect securely to MSAAQ via HTTP or SSE using your dedicated endpoint token.

Vinkius processes all CrewAI data from tools like `get_logged_in_user_profile` inside isolated sandboxes. Your MSAAQ student profiles and certificate records are never saved or analyzed by the hosting layer.

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