D2L Brightspace MCP Server for LlamaIndexGive LlamaIndex instant access to 33 tools to Copy Course, Create Course, Create Enrollment, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add D2L Brightspace as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The D2L Brightspace MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 33 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to D2L Brightspace. "
"You have 33 tools available."
),
)
response = await agent.run(
"What tools are available in D2L Brightspace?"
)
print(response)
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 D2L Brightspace MCP Server
Connect your D2L Brightspace environment to any AI agent to streamline learning management and administrative workflows.
LlamaIndex agents combine D2L Brightspace tool responses with indexed documents for comprehensive, grounded answers. Connect 33 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Course Management — Retrieve course details, create new offerings, and copy course content between org units using
get_courseandcopy_course. - User Administration — List system users, create new accounts, and manage roles and permissions with
list_usersandcreate_user. - Grade Tracking — Access grade lists and update individual student grades for specific assignments using
get_user_gradeandupdate_user_grade. - Content & Communication — Explore course modules, manage discussion forums, and create new topics or posts via
list_root_modulesandcreate_post. - Assessments — Monitor quizzes, surveys, and assignment submissions, and provide direct feedback using
list_submissionsandprovide_feedback.
The D2L Brightspace MCP Server exposes 33 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 33 D2L Brightspace tools available for LlamaIndex
When LlamaIndex connects to D2L Brightspace through Vinkius, your AI agent gets direct access to every tool listed below — spanning course-management, student-records, lms-integration, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Copy course on D2L Brightspace
Initiate a course copy job
Create course on D2L Brightspace
Create a course offering
Create enrollment on D2L Brightspace
Enroll a user in an org unit
Create lti deployment on D2L Brightspace
Create an LTI Advantage tool deployment
Create org unit on D2L Brightspace
Create custom org units
Create post on D2L Brightspace
Create a post in a discussion topic
Create topic on D2L Brightspace
Create a discussion topic in a forum
Create user on D2L Brightspace
Create a new user
Delete enrollment on D2L Brightspace
Unenroll a user from an org unit
Get course on D2L Brightspace
Retrieve course details
Get course template on D2L Brightspace
Retrieve course template info
Get org unit on D2L Brightspace
Retrieve org unit properties
Get user grade on D2L Brightspace
Retrieve user grades for a specific grade object
Get whoami on D2L Brightspace
Retrieve current user context
List assignment folders on D2L Brightspace
List assignment folders (dropboxes)
List forums on D2L Brightspace
List discussion forums in a course
List grades on D2L Brightspace
List grade objects for a course
List legacy lti links on D2L Brightspace
List legacy LTI 1.1 links
List lti registrations on D2L Brightspace
List LTI Advantage tool registrations
List my enrollments on D2L Brightspace
List current user enrollments
List my eportfolio objects on D2L Brightspace
List current user ePortfolio objects
List org unit children on D2L Brightspace
List child units of an org unit
List quiz attempts on D2L Brightspace
List attempts for a specific quiz
List quizzes on D2L Brightspace
List quizzes in a course
List roles on D2L Brightspace
Retrieve system roles
List root modules on D2L Brightspace
List root modules of course materials
List submissions on D2L Brightspace
List submissions for an assignment folder
List surveys on D2L Brightspace
List surveys in a course
List users on D2L Brightspace
Search or page through users
Provide feedback on D2L Brightspace
Provide feedback for an assignment submission
Update user on D2L Brightspace
Update user data
Update user grade on D2L Brightspace
Update a user grade
Upload eportfolio artifact on D2L Brightspace
Upload a file artifact to ePortfolio
Connect D2L Brightspace to LlamaIndex via MCP
Follow these steps to wire D2L Brightspace into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the D2L Brightspace MCP Server
LlamaIndex provides unique advantages when paired with D2L Brightspace through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine D2L Brightspace tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain D2L Brightspace tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query D2L Brightspace, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what D2L Brightspace tools were called, what data was returned, and how it influenced the final answer
D2L Brightspace + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the D2L Brightspace MCP Server delivers measurable value.
Hybrid search: combine D2L Brightspace real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query D2L Brightspace to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying D2L Brightspace for fresh data
Analytical workflows: chain D2L Brightspace queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for D2L Brightspace in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with D2L Brightspace immediately.
"List all users in my Brightspace instance."
"Show me the details for course org unit 8821."
"Get the grade for user 554 in course 8821."
Troubleshooting D2L Brightspace MCP Server with LlamaIndex
Common issues when connecting D2L Brightspace to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpD2L Brightspace + LlamaIndex FAQ
Common questions about integrating D2L Brightspace MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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