How to Use the edX MCP in CrewAI

Q: How do I add the edX Alternative to my CrewAI setup?

Install crewaitools. You can pass the Vinkius endpoint URL directly into your agent's mcps array to give it immediate access to all course and grading tools.

Q: Can different CrewAI agents use different edX Alternative tools?

Yes. Import MCPServerHTTP from crewai.mcp and use toolfilter. This lets you restrict the grading agent to getusergrades while the admin agent handles enrollments.

Deploy specialized autonomous agents in CrewAI to manage your edX Alternative MCP Server courses and student records.

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Connect edX MCP to CrewAI

Create your Vinkius account to connect edX to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup edX with CrewAI

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Run an automated curriculum crew

One agent cannot manage an entire university alone. You can assign a researcher agent to scan the catalog using `list_courses` and map out syllabi with `get_course_blocks`. A second agent takes that research and analyzes it. By executing `get_course_details`, it checks if the class descriptions meet your internal standards and logs any missing information to shared memory.

Delegate student administration

Your registration desk can run autonomously. A specialized coordinator agent monitors new signups and uses `enroll_in_course` to place students into their required tracks. A separate auditor agent verifies these actions. It cross-references `list_enrollments` with the expected roster and runs `get_user_profile` to ensure the student accounts are fully populated.

Track performance via CrewAI MCP Server

You can build a dedicated academic review crew. A monitor agent continuously pulls `get_course_grades` to find classes with unusually low passing rates. When it flags a problem, an intervention agent takes over. It executes `get_user_grades` for the struggling students and adjusts their learning paths by calling `update_user_profile` without you lifting a finger.

Setup guide

Set up edX 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 edX tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install `crewai[tools]`. You can pass the Vinkius endpoint URL directly into your agent's `mcps` array to give it immediate access to all course and grading tools.

Yes. Import `MCPServerHTTP` from `crewai.mcp` and use `tool_filter`. This lets you restrict the grading agent to `get_user_grades` while the admin agent handles enrollments.

CrewAI uses shared memory. If your first agent pulls a list of classes, the second agent can read that context and immediately start calling `get_course_details` on specific IDs.

Definitely. You can structure your crew so the enrollment agent finishes registering a student before the notification agent emails them their course blocks.

Vinkius handles the authentication layer externally. Your Python agents only receive the specific user profiles or enrollments they request, and the isolated server shuts down the moment the CrewAI process ends.

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