How to Use the Classe365 MCP in CrewAI

Q: How do I connect the Classe365 MCP Server to CrewAI?

Pass the Vinkius endpoint directly into the mcps array in your Agent definition. The framework automatically discovers and registers the educational tools.

Q: How do I restrict which Classe365 tools my CrewAI agents see?

Import MCPServerHTTP and use the toolfilter parameter. This lets you give the monitor agent read-only access while the registrar agent gets write permissions.

Deploy autonomous AI teams in CrewAI to monitor Classe365 academic records and manage student enrollments.

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Connect Classe365 MCP to CrewAI

Create your Vinkius account to connect Classe365 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.

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Setup Classe365 with CrewAI

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Perplexity

Coordinate Admissions Crews

A single agent gets overwhelmed during enrollment season. You can set up a CrewAI team via the MCP protocol where a researcher agent monitors incoming applications and a registrar agent executes `create_student_profile`. The shared memory keeps both agents aligned. If the registrar needs more context before saving, it asks the researcher to pull existing siblings via `get_student_details`.

Monitor Assessments via MCP Server

Academic probation requires constant oversight. Assign a monitor agent to run `list_exam_assessments` across the entire school every week. When scores drop below your threshold, the monitor flags the file. A moderator agent then pulls the historical data using `list_academic_records` and drafts an intervention plan for the teachers.

Audit Daily Attendance

Truancy slips through the cracks when humans have to check every register. Build a hierarchical crew that executes `list_school_classes` to find active sessions. Worker agents then fan out to call `list_student_attendance` for each class. The manager agent compiles the findings into a single daily briefing without anyone clicking a button.

Setup guide

Set up Classe365 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 Classe365 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Classe365 Analyst",
    goal="Access and analyze Classe365 data via MCP.",
    backstory="Expert analyst with direct Classe365 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Classe365 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="Classe365 Analyst",
        goal="Access and analyze Classe365 data via MCP.",
        backstory="Expert analyst with direct Classe365 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Classe365 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 Classe365. 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.

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Common questions about Classe365 MCP in CrewAI

Pass the Vinkius endpoint directly into the `mcps` array in your Agent definition. The framework automatically discovers and registers the educational tools.

Yes. Give an authorized agent access to the write tools. It will evaluate the context and execute the creation command when the conditions are met.

Import `MCPServerHTTP` and use the `tool_filter` parameter. This lets you give the monitor agent read-only access while the registrar agent gets write permissions.

You define the execution strategy. Teams can run attendance checks sequentially or use hierarchical delegation to process multiple classes at once.

Connections pass through a zero-trust V8 Isolate. Your pupils' attendance histories and exam scores are never cached or logged by the Vinkius infrastructure.

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