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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Didacte
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Didacte through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Didacte "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 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.

Pydantic AI validates every Didacte tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Didacte to Pydantic AI via MCP

Follow these steps to integrate the Didacte MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Didacte MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Didacte integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Didacte connection logic from agent behavior for testable, maintainable code

Didacte + Pydantic AI Use Cases

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

Type-safe data pipelines: query Didacte with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Didacte tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Didacte and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Didacte responses and write comprehensive agent tests

Didacte MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Didacte to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Didacte + Pydantic AI FAQ

Common questions about integrating Didacte MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Didacte MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.