eduMe MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect eduMe 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="eduMe Assistant",
instructions=(
"You help users interact with eduMe. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from eduMe"
)
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 eduMe MCP Server
Integrate eduMe, the leading mobile-first training platform for the deskless workforce, directly into your AI workflow. Manage your training courses and modules, track trainee profiles and completion rates, monitor team performance, and oversee your organizational learning metadata using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from eduMe through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries eduMe, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Course Oversight — List and retrieve detailed information and completion metrics for all your mobile training courses.
- Trainee Intelligence — Monitor user training profiles, identifying completed courses, active enrollments, and organizational team memberships.
- Team Management — Access and monitor all training teams and user groups configured in your eduMe account.
- Learning Auditing — Retrieve high-level summaries of team activity, course engagement, and organizational training health.
The eduMe MCP Server exposes 10 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 eduMe to OpenAI Agents SDK via MCP
Follow these steps to integrate the eduMe 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 10 tools from eduMe
Why Use OpenAI Agents SDK with the eduMe MCP Server
OpenAI Agents SDK provides unique advantages when paired with eduMe 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
eduMe + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the eduMe MCP Server delivers measurable value.
Automated workflows: build agents that query eduMe, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries eduMe, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through eduMe tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query eduMe to resolve tickets, look up records, and update statuses without human intervention
eduMe MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect eduMe to OpenAI Agents SDK via MCP:
get_course_details
Get detailed settings and module list for a specific training course
get_edume_account_metadata
Retrieve metadata and limits for your eduMe account
get_user_training_profile
Get full training history and profile for a specific user
list_latest_training_content
Identify the most recently created or updated training courses
list_top_performing_courses
Identify courses with the highest completion or engagement rates (mock logic)
list_trained_users
List all users registered in your eduMe training platform
list_training_courses
List all mobile training courses available in eduMe
list_training_teams
List all teams and user groups configured in your eduMe account
quick_team_training_audit
Retrieve a high-level summary of team activity and member counts
search_trainees_by_keyword
Search for users using a name keyword or external identifier
Example Prompts for eduMe in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with eduMe immediately.
"List all mobile training courses."
"Show me the training profile for user 'john_doe'."
"Which teams have the lowest course engagement?"
Troubleshooting eduMe MCP Server with OpenAI Agents SDK
Common issues when connecting eduMe to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
eduMe + OpenAI Agents SDK FAQ
Common questions about integrating eduMe 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 eduMe 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 eduMe to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.