How do I get a Didacte API Token?

Log in to your Didacte account, navigate to the API section in your settings, and you can generate or retrieve your unique API Token from there.

What is the subdomain?

It is the first part of your Didacte URL. For example, if you access your portal at 'mycompany.didacte.com', your subdomain is 'mycompany'.

Can the agent see course content?

The agent can list lessons and modules to provide an overview of the curriculum, but full course materials (videos, documents) are viewed within the Didacte platform.

Didacte MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Didacte
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Didacte 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({
        "didacte": {
            "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 Didacte, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Didacte MCP Server

Integrate Didacte (by Workleap), the powerful and user-friendly learning management system (LMS), directly into your AI workflow. Manage your course catalog, monitor student enrollments and real-time progress, and audit your organization's learning activity using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Didacte through native MCP adapters. Connect 10 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 detailed configuration for all courses available in your Didacte portal.
Learner Intelligence — Access detailed profiles for users and track their learning history across the organization.
Progress Tracking — Monitor individual enrollment progress and identify active learners in real-time.
Curriculum Research — List lessons and modules within courses to understand the learning structure and content.

The Didacte MCP Server exposes 10 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 Didacte to LangChain via MCP

Follow these steps to integrate the Didacte 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 10 tools from Didacte via MCP

Why Use LangChain with the Didacte MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Didacte 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 Didacte queries for multi-turn workflows

Didacte + LangChain Use Cases

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

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

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

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

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

Didacte MCP Tools for LangChain (10)

These 10 tools become available when you connect Didacte to LangChain via MCP:

get_account_metadata

Retrieve metadata and usage limits for your Didacte organization

get_course_details

Get detailed settings and information for a specific course

get_user_learning_profile

Get full profile and summary for a specific user

list_active_learning_progress

Identify enrollments where learners have made recent progress (mock logic)

list_course_curriculum

List all lessons and modules within a specific course

list_course_enrollments

List all users currently enrolled in a specific course

list_lms_courses

List all available courses in your Didacte organization

list_organization_users

List all users and learners registered in your organization

list_user_enrollments

List all courses a specific user is enrolled in

search_courses_by_title

Search for a course using a title keyword

Example Prompts for Didacte in LangChain

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

"List all active courses in our portal."

"What is the progress for user 'Alice Johnson' in the 'Compliance' course?"

"Search for courses related to 'Leadership'."

Troubleshooting Didacte MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Didacte + LangChain FAQ

Common questions about integrating Didacte 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.