How to Use the Illumidesk MCP in CrewAI

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

Pass the Vinkius server URL directly into your agent's mcps list during initialization. For more control, use MCPServerHTTP from the crewai.mcp module and apply filters to expose only the specific tools your agents need.

Q: How do CrewAI agents handle LTI credentials in Illumidesk?

Your security agent can call listlticredentials to inspect the credentials assigned to a campus. This data is shared with other agents in the crew to verify that all external tools match active deployments.

Run autonomous agent teams to manage your Illumidesk courses and rosters using CrewAI and this MCP Server.

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Connect Illumidesk MCP to CrewAI

Create your Vinkius account to connect Illumidesk 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 Illumidesk with CrewAI

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Course auditing using CrewAI teams

The `list_courses` tool lets your CrewAI agents scan for empty classes while a coordinator flags them for review. Deploy a crew where one agent acts as an auditor and another as a coordinator. They collaborate by sharing context. The auditor calls `get_course` to check specific class details, passing the results to the coordinator using CrewAI's shared memory.

Autonomous LTI deployment verification

The `list_lti_deployments` tool lets a specialized CrewAI team check active setups while a security agent checks credentials. Let a specialized crew handle your external tool integrations. The security agent invokes `list_lti_credentials` to verify match keys. If it finds a broken link, it passes the deployment ID to a logging agent inside the CrewAI pipeline.

Automated user roster reconciliation

The `list_users` tool lets your CrewAI teams manage complex roster audits. This MCP Server lets your CrewAI teams manage complex roster audits. A researcher agent calls the endpoint to build a database of active students across the system. A second agent uses `list_memberships` to verify that those users are correctly assigned to their respective courses, flagging any discrepancies for the CrewAI manager.

Setup guide

Set up Illumidesk 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 Illumidesk tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius server URL directly into your agent's `mcps` list during initialization. For more control, use `MCPServerHTTP` from the `crewai.mcp` module and apply filters to expose only the specific tools your agents need.

Yes, your crew can share tasks to complete audits. One agent can list all classes using `list_courses`, while another agent uses `get_course` to analyze the metadata of each class, combining their findings into a final report.

Your security agent can call `list_lti_credentials` to inspect the credentials assigned to a campus. This data is shared with other agents in the crew to verify that all external tools match active deployments.

Yes, CrewAI supports stdio, SSE, and Streamable HTTP transports. You can hook your agents up to the Vinkius-hosted MCP Server using the provided HTTPS endpoint, which handles all complex handshakes and token validation.

Student profiles and enrollment lists are never stored by the server. The crew retrieves this information temporarily via `list_memberships` to execute its tasks. All data is processed in memory and deleted as soon as the agent session concludes.

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