LearnWorlds MCP Server for CrewAIGive CrewAI instant access to 8 tools to Create Student, Enroll Student, Get Course Contents, and more
Connect your CrewAI agents to LearnWorlds through Vinkius, pass the Edge URL in the `mcps` parameter and every LearnWorlds tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The LearnWorlds MCP Server for CrewAI is a standout in the Ecommerce category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from crewai import Agent, Task, Crew
agent = Agent(
role="LearnWorlds Specialist",
goal="Help users interact with LearnWorlds effectively",
backstory=(
"You are an expert at leveraging LearnWorlds tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in LearnWorlds "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 8 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About LearnWorlds MCP Server
Connect your LearnWorlds account to any AI agent and take full control of your online academy orchestration and student productivity through natural conversation. LearnWorlds provides a powerful platform for creating and selling online courses, and this integration allows you to retrieve course metadata, manage student enrollments, and monitor academic progress directly from your chat interface.
When paired with CrewAI, LearnWorlds becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call LearnWorlds tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Course & Content Orchestration — List all managed courses and retrieve detailed module and unit metadata programmatically to ensure your learning roadmap is always synchronized.
- User & Profile Intelligence — Access and monitor student profiles and create new user accounts directly from the AI interface to maintain high-fidelity academic records.
- Enrollment & Access Control — Manually enroll students into specific courses or products via natural language to drive better promotional efficiency and class coordination.
- Payment & Subscription Oversight — List and oversee recent payments and retrieve detailed transaction metadata using simple AI commands to track your academy's revenue health.
- Operational Monitoring — Track system responses and manage webhook metadata to ensure your LMS workflows are always optimized.
The LearnWorlds MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 LearnWorlds tools available for CrewAI
When CrewAI connects to LearnWorlds through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, white-label-lms, course-sales, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create student on LearnWorlds
Create a new student
Enroll student on LearnWorlds
Enroll a student in a product
Get course contents on LearnWorlds
Get course contents
Get student details on LearnWorlds
Get student details
List courses on LearnWorlds
List all courses
List payments on LearnWorlds
List all payments
List students on LearnWorlds
List all students
List subscriptions on LearnWorlds
List all student subscriptions
Connect LearnWorlds to CrewAI via MCP
Follow these steps to wire LearnWorlds into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 8 tools from LearnWorldsWhy Use CrewAI with the LearnWorlds MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with LearnWorlds through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
LearnWorlds + CrewAI Use Cases
Practical scenarios where CrewAI combined with the LearnWorlds MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries LearnWorlds for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries LearnWorlds, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain LearnWorlds tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries LearnWorlds against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for LearnWorlds in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with LearnWorlds immediately.
"Show all courses with enrollment counts and the latest student activity."
"Show student progress and completion rates for the UX Design Course."
"Show new enrollments this week and school analytics."
Troubleshooting LearnWorlds MCP Server with CrewAI
Common issues when connecting LearnWorlds to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
LearnWorlds + CrewAI FAQ
Common questions about integrating LearnWorlds MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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