How to Use the Cadmium Harvester MCP in OpenAI Agents SDK
Query event data directly through your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cadmium Harvester MCP to OpenAI Agents SDK
Create your Vinkius account to connect Cadmium Harvester to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage event data in OpenAI Agents SDK
Your agent pulls real-time speaker and session data using `get_event_details` and `list_presenters`. It handles the raw API responses directly within your Python agent loop. You avoid manual exports by calling `list_presentations` to feed your agent the exact state of your event content.
Automate asset tracking with MCP Server
The agent monitors file distribution by running `list_presentation_assets` against your active event. It verifies that every speaker has the required files attached to their session. Your production agent relies on `get_presenter_details` to confirm bios and contact information. This ensures your system flags missing data before it hits the production dashboard.
Trace event metrics in OpenAI Agents SDK
Run `get_presentation_count` to get an immediate tally of your current event load. Your agent logs these counts to your dashboard for tracking. Everything stays inside your Python environment. You use `get_account_info` to verify your credentials, keeping your agent logic centralized.
Set up Cadmium Harvester MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Cadmium Harvester tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Cadmium Harvester tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Cadmium Harvester tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Cadmium Harvester Agent",
instructions="You have access to Cadmium Harvester tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cadmium Harvester. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Built-in savings
60%
lower AI costs
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Common questions about Cadmium Harvester MCP in OpenAI Agents SDK
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