Can I see the completion results for a specific student?

Yes! Use the `get_training_completion_results` tool. The agent will return completion data and grades for enrolments, allowing you to track individual or aggregate success.

How do I check which groups a member belongs to?

Use the `get_member_group_associations` tool with the member ID. Your agent will fetch all groups the specific member is part of, giving you context on their organizational alignment.

Where do I find my Coassemble User ID and Token?

Log in to Coassemble, navigate to **Settings**, and select **API**. You can generate and copy your User ID and API User Token from that section.

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

Name: Coassemble
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Coassemble through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "coassemble": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Coassemble, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Coassemble through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Coassemble MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Coassemble via MCP

Why Use LangChain with the Coassemble MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Coassemble MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Coassemble queries for multi-turn workflows

Coassemble + LangChain Use Cases

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

RAG with live data: combine Coassemble tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Coassemble, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Coassemble tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Coassemble tool call, measure latency, and optimize your agent's performance

Coassemble MCP Tools for LangChain (8)

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

enroll_member_in_course

Enroll a specific member into a course or group

get_course_training_details

Get detailed information for a specific course

get_member_group_associations

Get all groups a specific member belongs to

get_training_completion_results

List training results and grades for enrolments

list_coassemble_courses

List all training courses in the Coassemble workspace

list_coassemble_enrolments

List all course enrolments

list_coassemble_groups

List all student groups in the workspace

list_coassemble_members

List all members (users) in the workspace

Example Prompts for Coassemble in LangChain

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

"List all training courses in my Coassemble workspace."

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

"What are the latest completion results?"

Troubleshooting Coassemble MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Coassemble + LangChain FAQ

Common questions about integrating Coassemble MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.