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Coassemble MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Coassemble through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "coassemble": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Coassemble Agent",
    instructions:
      "You help users interact with Coassemble " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Coassemble?"
  );
  console.log(result.text);
}

main();
Coassemble
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Coassemble MCP Server

Connect your Coassemble account to any AI agent and take full control of your online training and LMS through natural conversation. Streamline how you manage learners, courses, and completion results natively.

Mastra's agent abstraction provides a clean separation between LLM logic and Coassemble tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Course Oversight — List and retrieve details for all training courses in your workspace natively
  • Enrolment Intelligence — Access and monitor student enrolments and their current progress flawlessly
  • Member Management — List all workspace members and their contact details securely
  • Group Logistics — Monitor student groups and manage their course associations flawlessly
  • Completion Auditing — Retrieve training results and grades for all enrolments to track success flawlessly
  • Profile Visibility — Access your own user profile and core workspace metadata directly within your workspace

The Coassemble MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI 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 Coassemble to Mastra AI via MCP

Follow these steps to integrate the Coassemble MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Coassemble via MCP

Why Use Mastra AI with the Coassemble MCP Server

Mastra AI provides unique advantages when paired with Coassemble through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Coassemble without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Coassemble tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Coassemble + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Coassemble MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Coassemble, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Coassemble as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Coassemble on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Coassemble tools alongside other MCP servers

Coassemble MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Coassemble to Mastra AI via MCP:

01

enroll_member_in_course

Enroll a specific member into a course or group

02

get_course_training_details

Get detailed information for a specific course

03

get_member_group_associations

Get all groups a specific member belongs to

04

get_training_completion_results

List training results and grades for enrolments

05

list_coassemble_courses

List all training courses in the Coassemble workspace

06

list_coassemble_enrolments

List all course enrolments

07

list_coassemble_groups

List all student groups in the workspace

08

list_coassemble_members

List all members (users) in the workspace

Example Prompts for Coassemble in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Coassemble immediately.

01

"List all training courses in my Coassemble workspace."

02

"Show me the progress for user 'STU_12345'."

03

"What are the latest completion results?"

Troubleshooting Coassemble MCP Server with Mastra AI

Common issues when connecting Coassemble to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Coassemble + Mastra AI FAQ

Common questions about integrating Coassemble MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Coassemble to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.