Can my AI automatically mark a course as completed for a specific user?

Yes! Use the `complete_item` action by providing the Item ID and User ID. Your agent will record the completion in the Learn Amp database instantly.

How do I list all the available learning pathways (Learnlists)?

Simply ask the agent to run the `list_learnlists` query. It will return a paginated list of all active pathways with their names and unique IDs.

Is it possible to deactivate a user account via this integration?

Yes. The `deactivate_user` tool allows you to disable access for any specific user ID, which is ideal for automating offboarding processes.

INSTANT PLUG AND PLAY

Learn Amp MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Complete Item, Create User, Deactivate User, and more

Name: Learn Amp
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Learn Amp app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Learn Amp "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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Ed25519Audit chain

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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 Learn Amp MCP Server

Connect your Learn Amp organizational account to any AI agent and take full control of your learning and development workflows through natural conversation.

Pydantic AI validates every Learn Amp 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

User Management — List all users, create new accounts, and manage profile data across your organization.
Content & Courses — Query the complete library of learning items, documents, and interactive courses.
Learning Pathways — List and inspect Learnlists to understand curated employee development tracks.
Progress Tracking — Mark items as complete and monitor engagement verbs across the platform.
Access Control — Deactivate or reactivate user accounts to maintain a secure and up-to-date directory.

The Learn Amp 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.

All 10 Learn Amp tools available for Pydantic AI

When Pydantic AI connects to Learn Amp through Vinkius, your AI agent gets direct access to every tool listed below — spanning lxp, lms, employee-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

complete_item

Mark a learning item as complete for a user

create_user

Create a new user in Learn Amp

deactivate_user

The user data remains but they can no longer log in. Deactivate a user account

get_learnlist

Get details for a specific learnlist

get_user

Get details for a specific user

list_items

List all learning items (courses, content)

list_learnlists

List all learnlists (learning pathways)

list_users

List all users from Learn Amp

list_verbs

List all available action verbs

update_user

Update an existing user

Connect Learn Amp to Pydantic AI via MCP

Follow these steps to wire Learn Amp into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Learn Amp with type-safe schemas

Why Use Pydantic AI with the Learn Amp MCP Server

Pydantic AI provides unique advantages when paired with Learn Amp 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 Learn Amp integration code

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

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

Learn Amp + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Learn Amp in Pydantic AI

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

"List all active users in my Learn Amp account."

"Show me all available courses related to 'Compliance'."

"Mark course 8823 as completed for user 1029."

Troubleshooting Learn Amp MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Learn Amp + Pydantic AI FAQ

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