How can I check the training progress of a specific team?

Use the `get_stats` tool filtered by Group ID. Your agent will retrieve completion rates and average scores for that specific team.

Can I create new learners via the AI agent?

Yes, you can use the `create_user` tool to register new learners on your 360Learning platform directly from your conversation.

How do I browse available training courses?

Use the `list_courses` tool to view the catalog of available courses. You can then use `get_course` to see more specific details about any curriculum.

360Learning MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: 360Learning
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect 360Learning 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 360Learning "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in 360Learning?"
    )
    print(result.data)

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 360Learning MCP Server

Empower your corporate education strategy with 360Learning, the collaborative learning platform now fully integrated with your AI agent. By connecting 360Learning via the Model Context Protocol, you transform learning management from a complex administrative task into a natural conversation. Your agent can now seamlessly provision learners, audit course completions, and retrieve real-time training statistics without you ever navigating a LMS dashboard. It’s the smartest way to scale knowledge sharing and ensure your team stays ahead of the curve.

Pydantic AI validates every 360Learning tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

User Management — List, create, and update learners and admins within your platform.
Course Catalog — Browse available courses, view lesson details, and check enrollment status.
Learning Paths — Manage structured training paths and monitor group progress across curriculum.
Engagement Stats — Access completion rates, time spent, and assessment scores to gauge training effectiveness.
Group Organization — List and manage departments or training cohorts for targeted learning delivery.

The 360Learning MCP Server exposes 6 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 360Learning to Pydantic AI via MCP

Follow these steps to integrate the 360Learning 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 6 tools from 360Learning with type-safe schemas

Why Use Pydantic AI with the 360Learning MCP Server

Pydantic AI provides unique advantages when paired with 360Learning 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 360Learning integration code

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

Dependency injection system cleanly separates your 360Learning connection logic from agent behavior for testable, maintainable code

360Learning + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the 360Learning MCP Server delivers measurable value.

Type-safe data pipelines: query 360Learning with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple 360Learning tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query 360Learning and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock 360Learning responses and write comprehensive agent tests

360Learning MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect 360Learning to Pydantic AI via MCP:

create_user

Requires the email, first name, and last name of the user. Register a new learner, author, or administrator account

get_course

Get technical details and the lesson overview for a specific course

get_stats

You must filter by either Group ID, User ID, or Course ID. Retrieve training completion rates and assessment scores

list_courses

Use this to find a specific Course ID to check enrollments or detailed lessons. Browse the catalog of available training courses

list_groups

Useful for finding a specific Group ID for reporting strategies. List all training groups, departments, or cohorts in the platform

list_users

Use this to find specific learner profiles. List all active learners and administrators in the 360Learning platform

Example Prompts for 360Learning in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with 360Learning immediately.

"List all active users in my 360Learning platform."

"Show me the training statistics for the 'Marketing' group."

"List all available courses in the catalog."

Troubleshooting 360Learning MCP Server with Pydantic AI

Common issues when connecting 360Learning to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

360Learning + Pydantic AI FAQ

Common questions about integrating 360Learning 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 360Learning MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.