Compatible with every major AI agent and IDE
Get course on edX
Returns title, description, organization, level, subjects, pacing, estimated effort, prerequisites and available course runs. Get detailed info for a specific edX course
Get course run on edX
Get details for a specific course run
Get course runs on edX
Optionally filter by course key and status (upcoming, current, archived). Get course runs (scheduled offerings) for courses
Get organizations on edX
Returns organization names, descriptions, logos and course counts. Includes Harvard, MIT, Berkeley, Google, IBM and many more. Get partner organizations that offer courses on edX
Get program on edX
Get details for a specific edX program
Get subjects on edX
Returns subject names, descriptions and course counts. Useful for discovering what topics are covered on the platform. Get course subject categories
Search courses on edX
Supports free-text search, filtering by organization, level (beginner/intermediate/advanced), language, subject. Returns course titles, descriptions, organizations, levels, subjects and enrollment links. Search for online courses on edX
Search programs on edX
Includes MicroMasters, Professional Certificates, XSeries and Bootcamps. Returns program titles, descriptions, course counts and type. Search for edX programs (MicroMasters, Professional Certificates, XSeries)
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I search courses by university?
Yes! Use search_courses with the org parameter to filter by organization (e.g. "HarvardX", "MITx", "BerkeleyX"). You can also search by topic, level, language and subject simultaneously.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
edX Capabilities for AI Assistants
Add the edX tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
LLM Orchestration for online courses
The edX integration exposes LLM-friendly schemas for online courses. Tools like Cursor can map natural language directly into executable productivity commands.
Connecting higher education with Cursor
Use edX to interface with higher education via natural language. The toolkit provides Cursor with LLM-friendly schemas for productivity tasks.
edX. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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