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How to Use the Coassemble MCP in Cursor

Build custom training portals and sync student data directly inside Cursor with live workspace context.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Coassemble MCP to Cursor

Create your Vinkius account to connect Coassemble to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Inspect LMS structures inside Cursor with an MCP Server

This MCP Server lets your editor query live workspace data directly using `list_coassemble_courses` and `list_coassemble_groups`. Developers can write integration code while their AI agent pulls real-time course IDs to populate configuration files or database seeds. You do not need to hardcode mock data or look up IDs in a browser tab. The agent reads the live schema, ensuring your local code matches the actual production setup.

Generate code using live student completion metrics

The `get_training_completion_results` tool pulls actual student scores and progress data right into your editor. When writing custom dashboards or reporting scripts, your agent uses this MCP Server to verify data structures and run test queries. This live feedback loop prevents syntax errors caused by outdated API documentation. You see exactly what fields the LMS returns before you deploy your code.

Build enrollment triggers using real member data

The `enroll_member_in_course` tool allows you to test user registration workflows directly from the Cursor chat sidebar. You can verify group memberships with `get_member_group_associations` and list active users using `list_coassemble_members` to test edge cases. Having these tools in your editor means you can prototype enrollment webhooks without leaving your workspace. Your agent writes the function and tests it against your live staging environment.

Setup guide

Set up Coassemble MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Coassemble MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Coassemble transactions." If the MCP tools are loaded correctly, Cursor will call the Coassemble tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "coassemble-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Coassemble. 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 Coassemble MCP in Cursor

Create a .cursor/mcp.json file in your project root and add the Coassemble server details under the mcpServers key in your MCP configuration. Once saved, enable Agent mode in the chat panel to start calling the tools.
Absolutely. Your agent can run `get_course_training_details` to inspect the exact payload structure, helping you write accurate parser functions in your local codebase.
No, Vinkius handles the authentication securely. You only need to add your single Vinkius connection token to your Cursor configuration file to grant the editor access.
Yes. Point the Cursor agent to your local CSV file, and it will read the rows, look up the users with `list_coassemble_members`, and call `enroll_member_in_course` for each record.
Yes, all member profiles, group assignments, and course records are transmitted over encrypted TLS channels directly to the LMS. Your sensitive student records are never stored or logged by the editor.

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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