Can I check the status of a specific presentation using the agent?

Yes! Use the `list_presentations` tool. Your agent will fetch all sessions, allowing you to see if a presentation is 'Approved', 'Pending', or in another state in the Harvester.

How do I list all the speakers for my conference?

Simply ask the agent to `list_presenters`. It will retrieve the list of all speakers registered for your event in Cadmium, including their names and unique IDs.

Does the integration allow accessing presentation handouts?

Yes. Use the `list_presentation_assets` tool with the Presentation ID. It will retrieve all the associated files, including handouts, slides, and other media uploaded by the speaker.

Cadmium Harvester MCP Server for Pydantic AI 7 tools — connect in under 2 minutes

Name: Cadmium Harvester
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 7 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cadmium Harvester 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 Cadmium Harvester "
            "(7 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cadmium Harvester?"
    )
    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 Cadmium Harvester MCP Server

Connect your Cadmium Education Harvester account to any AI agent and orchestrate your event content management, speaker coordination, and presentation tracking through natural conversation.

Pydantic AI validates every Cadmium Harvester tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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

Presentation Oversight — List all presentations for an event and retrieve detailed metadata, including titles, IDs, and statuses.
Speaker Management — List all presenters and retrieve detailed profiles, including contact info and association with sessions.
Asset Tracking — List and access files, handouts, and presentation assets associated with individual sessions.
Event Coordination — Retrieve core event details and settings straight from your workspace.
Content Auditing — Monitor presentation counts and update information to ensure your event schedule is accurate.
Data Deep Dives — Get detailed data for specific presenter or presentation IDs using natural language.

The Cadmium Harvester MCP Server exposes 7 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 Cadmium Harvester to Pydantic AI via MCP

Follow these steps to integrate the Cadmium Harvester 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 7 tools from Cadmium Harvester with type-safe schemas

Why Use Pydantic AI with the Cadmium Harvester MCP Server

Pydantic AI provides unique advantages when paired with Cadmium Harvester 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 Cadmium Harvester integration code

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

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

Cadmium Harvester + Pydantic AI Use Cases

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

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

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

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

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

Cadmium Harvester MCP Tools for Pydantic AI (7)

These 7 tools become available when you connect Cadmium Harvester to Pydantic AI via MCP:

get_account_info

Retrieve core account information

get_event_details

Retrieve core event information

get_presentation_count

Get total number of presentations

get_presenter_details

Get details of a specific presenter

list_presentation_assets

List files and assets associated with a presentation

list_presentations

List all presentations for the event

list_presenters

List all presenters/speakers for the event

Example Prompts for Cadmium Harvester in Pydantic AI

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

"List all presentations for the current event in Cadmium."

"Show the profile for presenter with ID speaker_99283."

"List the assets associated with presentation pres_123."

Troubleshooting Cadmium Harvester MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cadmium Harvester + Pydantic AI FAQ

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