edX MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect edX through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="edX Assistant",
instructions=(
"You help users interact with edX. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from edX"
)
print(result.final_output)
asyncio.run(main())
* 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 edX MCP Server
Connect to edX and explore the world's largest online learning platform through natural conversation — no API key needed.
The OpenAI Agents SDK auto-discovers all 8 tools from edX through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries edX, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Course Search — Search thousands of courses by topic, university, level and language
- Course Details — Get full course info including descriptions, prerequisites and effort estimates
- Course Runs — Find upcoming and current course offerings with start dates and enrollment links
- Programs — Browse MicroMasters, Professional Certificates, XSeries and Bootcamps
- Organizations — Explore all partner universities and institutions (Harvard, MIT, Google, IBM)
- Subjects — Discover all subject categories available on the platform
The edX MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect edX to OpenAI Agents SDK via MCP
Follow these steps to integrate the edX MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from edX
Why Use OpenAI Agents SDK with the edX MCP Server
OpenAI Agents SDK provides unique advantages when paired with edX through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
edX + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the edX MCP Server delivers measurable value.
Automated workflows: build agents that query edX, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries edX, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through edX tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query edX to resolve tickets, look up records, and update statuses without human intervention
edX MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect edX to OpenAI Agents SDK via MCP:
get_course
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
Get details for a specific course run
get_course_runs
Optionally filter by course key and status (upcoming, current, archived). Get course runs (scheduled offerings) for courses
get_organizations
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
Get details for a specific edX program
get_subjects
Returns subject names, descriptions and course counts. Useful for discovering what topics are covered on the platform. Get course subject categories
search_courses
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
Includes MicroMasters, Professional Certificates, XSeries and Bootcamps. Returns program titles, descriptions, course counts and type. Search for edX programs (MicroMasters, Professional Certificates, XSeries)
Example Prompts for edX in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with edX immediately.
"Find machine learning courses from Harvard."
"Show me all MicroMasters programs in Data Science."
"What organizations offer courses on edX?"
Troubleshooting edX MCP Server with OpenAI Agents SDK
Common issues when connecting edX to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
edX + OpenAI Agents SDK FAQ
Common questions about integrating edX MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect edX with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect edX to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.