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Cadmium Harvester MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cadmium Harvester through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

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

        agent = Agent(
            name="Cadmium Harvester Assistant",
            instructions=(
                "You help users interact with Cadmium Harvester. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cadmium Harvester"
        )
        print(result.final_output)

asyncio.run(main())
Cadmium Harvester
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

The OpenAI Agents SDK auto-discovers all 7 tools from Cadmium Harvester through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cadmium Harvester, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Cadmium Harvester MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 7 tools from Cadmium Harvester

Why Use OpenAI Agents SDK with the Cadmium Harvester MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cadmium Harvester through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cadmium Harvester + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cadmium Harvester MCP Server delivers measurable value.

01

Automated workflows: build agents that query Cadmium Harvester, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Cadmium Harvester, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Cadmium Harvester tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Cadmium Harvester to resolve tickets, look up records, and update statuses without human intervention

Cadmium Harvester MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Cadmium Harvester to OpenAI Agents SDK via MCP:

01

get_account_info

Retrieve core account information

02

get_event_details

Retrieve core event information

03

get_presentation_count

Get total number of presentations

04

get_presenter_details

Get details of a specific presenter

05

list_presentation_assets

List files and assets associated with a presentation

06

list_presentations

List all presentations for the event

07

list_presenters

List all presenters/speakers for the event

Example Prompts for Cadmium Harvester in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cadmium Harvester immediately.

01

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

02

"Show the profile for presenter with ID speaker_99283."

03

"List the assets associated with presentation pres_123."

Troubleshooting Cadmium Harvester MCP Server with OpenAI Agents SDK

Common issues when connecting Cadmium Harvester to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cadmium Harvester + OpenAI Agents SDK FAQ

Common questions about integrating Cadmium Harvester MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Cadmium Harvester to OpenAI Agents SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.