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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Didacte
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Didacte as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Didacte. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Didacte?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Didacte tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Didacte MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Didacte

Why Use LlamaIndex with the Didacte MCP Server

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

Data-first architecture: LlamaIndex agents combine Didacte tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Didacte tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Didacte, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Didacte tools were called, what data was returned, and how it influenced the final answer

Didacte + LlamaIndex Use Cases

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

Hybrid search: combine Didacte real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Didacte to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Didacte for fresh data

Analytical workflows: chain Didacte queries with LlamaIndex's data connectors to build multi-source analytical reports

Didacte MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Didacte to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Didacte + LlamaIndex FAQ

Common questions about integrating Didacte MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Didacte tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.