How to Use the Coassemble MCP in Claude
Manage student enrollments and track course grades directly inside Claude Desktop without leaving your chat window.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Coassemble MCP to Claude Desktop
Create your Vinkius account to connect Coassemble to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Register users and manage groups in Claude Desktop
The `enroll_member_in_course` tool puts direct student administration into your chat interface. You can assign users to specific modules or check their current team structures using `get_member_group_associations` instantly. Instead of clicking through three different LMS dashboards, tell your agent who needs to take which class. It uses `list_coassemble_members` to find the right user ID and handles the registration behind the scenes.
Map out your training catalog with this MCP Server
This MCP Server exposes your entire curriculum structure to your AI client using `list_coassemble_courses`. You pull active training tracks, verify module requirements, and retrieve specific setup details with `get_course_training_details` in one prompt. Your agent reads the raw course metadata to answer questions about syllabus length or active classes. You avoid manual exports and get immediate status reports on what training material is currently live.
Pull student grades and completion data instantly
The `get_training_completion_results` tool extracts raw performance metrics, scores, and completion statuses for your active cohorts. You monitor who finished their compliance training and who is lagging behind by combining this with `list_coassemble_enrolments`. Your agent parses these lists to flag failed attempts or calculate average completion times. You get clean, text-based tables of student progress without exporting CSV files from your LMS.
Set up Coassemble MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 3
Start a conversation
Open a new chat. The Coassemble MCP tools are available immediately — no restart needed.
Endpoint URL
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp No configuration file needed — paste the URL directly in the Claude web interface.
Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.
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 Coassemble MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Coassemble MCP today
We host it, we monitor it, we maintain it. You just paste one token.