DigitalChalk 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 DigitalChalk 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="DigitalChalk Assistant",
instructions=(
"You help users interact with DigitalChalk. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DigitalChalk"
)
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 DigitalChalk MCP Server
Integrate DigitalChalk, the comprehensive learning management system (LMS), directly into your AI workflow. Manage your course offerings, monitor student enrollments and completion statuses, and track exam results using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from DigitalChalk through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DigitalChalk, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Offering Oversight — List and retrieve detailed settings for all your active course offerings in the catalog.
- Learner Intelligence — Access detailed profiles for students and administrators and track their learning history.
- Progress Tracking — Monitor individual enrollment progress and identify recently completed courses.
- Assessment Monitoring — List exams and quizzes and track results to ensure academic compliance.
The DigitalChalk 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 DigitalChalk to OpenAI Agents SDK via MCP
Follow these steps to integrate the DigitalChalk 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 DigitalChalk
Why Use OpenAI Agents SDK with the DigitalChalk MCP Server
OpenAI Agents SDK provides unique advantages when paired with DigitalChalk 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
DigitalChalk + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DigitalChalk MCP Server delivers measurable value.
Automated workflows: build agents that query DigitalChalk, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DigitalChalk, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DigitalChalk tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DigitalChalk to resolve tickets, look up records, and update statuses without human intervention
DigitalChalk MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect DigitalChalk to OpenAI Agents SDK via MCP:
get_lms_account_metadata
Retrieve metadata and settings for your DigitalChalk account
get_offering_details
Get detailed settings and information for a specific course offering
get_user_learning_profile
Get full profile and enrollment history for a specific user
list_assessment_exams
List all exams and quizzes defined in the system
list_course_offerings
List all available course offerings in your DigitalChalk catalog
list_high_performing_learners
Identify enrollments with a grade above a certain percentage (mock logic)
list_lms_users
List all students and administrators registered in your DigitalChalk account
list_recent_course_completions
Identify enrollments that have been recently completed (mock logic)
list_user_enrollments
List all courses a specific user is currently enrolled in
search_users_by_identity
Search for a user by their full name or email address
Example Prompts for DigitalChalk in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DigitalChalk immediately.
"List all active course offerings."
"Show me the grade for user 'John Doe' in 'Business Ethics'."
"Search for users with email '@example.com'."
Troubleshooting DigitalChalk MCP Server with OpenAI Agents SDK
Common issues when connecting DigitalChalk to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DigitalChalk + OpenAI Agents SDK FAQ
Common questions about integrating DigitalChalk 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 DigitalChalk 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 DigitalChalk to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.