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How to Use the Coassemble MCP in Claude

Manage student enrollments and track course grades directly inside Claude Desktop without leaving your chat window.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers - Free for Subscribers
Claude Desktop

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.

GDPR Free for Subscribers

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.

Setup guide

Set up Coassemble MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 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

Open your claude_desktop_config.json file and add the Coassemble server configuration under the mcpServers block of your MCP config file. Restart your Claude Desktop app, and you will see the new tools available via the hammer icon.
Yes, your agent can loop through a list of emails, match them using `list_coassemble_members`, and execute `enroll_member_in_course` for each one. It handles the batch process sequentially right in your chat.
Yes. You can use `list_coassemble_groups` to find the target team, check who belongs to it with `get_member_group_associations`, and then register those specific members into your training modules.
The server manages API calls to the LMS back-end sequentially to avoid hitting rate caps. If you run a large batch enrollment, the server processes the requests steadily without crashing your session.
Your training metrics, student emails, and grades pass directly between the secure Vinkius sandbox and the LMS API. No student data is cached on our servers, keeping your educational records completely private.

Start using the Coassemble MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Coassemble. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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