DigitalChalk MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add DigitalChalk as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="digitalchalk_agent",
tools=tools,
system_message=(
"You help users with DigitalChalk. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use DigitalChalk tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the DigitalChalk MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from DigitalChalk automatically
Why Use AutoGen with the DigitalChalk MCP Server
AutoGen provides unique advantages when paired with DigitalChalk through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use DigitalChalk tools to solve complex tasks
Role-based architecture lets you assign DigitalChalk tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive DigitalChalk tool calls
Code execution sandbox: AutoGen agents can write and run code that processes DigitalChalk tool responses in an isolated environment
DigitalChalk + AutoGen Use Cases
Practical scenarios where AutoGen combined with the DigitalChalk MCP Server delivers measurable value.
Collaborative analysis: one agent queries DigitalChalk while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from DigitalChalk, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using DigitalChalk data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process DigitalChalk responses in a sandboxed execution environment
DigitalChalk MCP Tools for AutoGen (10)
These 10 tools become available when you connect DigitalChalk to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting DigitalChalk to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"DigitalChalk + AutoGen FAQ
Common questions about integrating DigitalChalk MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect DigitalChalk with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.