Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your LearnWorlds Client ID, Client Secret, and School Domain from your admin panel
- Start managing your academy from Claude, Cursor, or any MCP-compatible client
No more manual logging into the school dashboard for quick student or course checks. Your AI acts as a dedicated registrar or academic coordinator.
Who is this for?
- Course Creators & Academy Owners — quickly retrieve enrollment summaries and monitor sales performance without switching apps.
- Academic Coordinators — automate the retrieval of student metadata and track course completion via natural conversation.
- Developers — integrate real-time LMS data and student intelligence directly within the chat.
Built-in capabilities (8)
Create a new student
Enroll a student in a product
Get course contents
Get student details
List all courses
List all payments
List all students
List all student subscriptions
Why Google ADK?
Google ADK natively supports LearnWorlds as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with LearnWorlds
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine LearnWorlds tools with BigQuery, Vertex AI, and Cloud Functions
LearnWorlds in Google ADK
LearnWorlds and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect LearnWorlds to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for LearnWorlds in Google ADK
The LearnWorlds 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
LearnWorlds for Google ADK
Every tool call from Google ADK to the LearnWorlds MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track student progress and enrollments?
Yes. Browse all students with course enrollment data, completion percentages, last activity, and engagement metrics.
Does LearnWorlds use OAuth2?
Yes. LearnWorlds requires Client ID, Client Secret, and your School Domain (e.g., your-school.learnworlds.com). OAuth2 tokens are exchanged at https://{domain}/admin/api/oauth2/token.
Can I manage course content and settings?
Yes. List courses with curricula, manage course settings, and access enrollment and pricing configurations.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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