Cadmium Harvester MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Cadmium Harvester, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cadmium Harvester, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cadmium Harvester tools and transform it with OpenAI models in a single async loop
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:
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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Cadmium Harvester to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cadmium Harvester + OpenAI Agents SDK FAQ
Common questions about integrating Cadmium Harvester MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Cadmium Harvester with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
