How to Use the DigitalChalk MCP in OpenAI Agents SDK
Manage your LMS with the OpenAI Agents SDK. Direct access to DigitalChalk data for your production-grade agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DigitalChalk MCP to OpenAI Agents SDK
Create your Vinkius account to connect DigitalChalk to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Real-time course and user tracking
Your agent pulls live enrollment data using `list_user_enrollments` to monitor student progress as it happens. It connects directly to your catalog to fetch specific details through `get_offering_details`. This setup removes the need for manual exports. Your agent handles the heavy lifting, ensuring your production systems stay updated with the latest learner activity.
Automated exam and performance monitoring
Query your entire system for specific assessment data with `list_assessment_exams`. You can identify top performers immediately by executing `list_high_performing_learners`. Your agent parses these results to trigger follow-ups. It keeps your training data clean without you needing to write custom polling scripts.
Fast identity lookups for DigitalChalk
Find specific users in seconds using `search_users_by_identity`. This tool allows your agent to verify enrollment status or check account metadata via `get_lms_account_metadata`. It works within your existing agent flow. You get precise, validated user information without digging through the LMS dashboard manually.
Set up DigitalChalk MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all DigitalChalk tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives DigitalChalk tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate DigitalChalk tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="DigitalChalk Agent",
instructions="You have access to DigitalChalk tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DigitalChalk. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about DigitalChalk MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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