How to Use the Cadmium Harvester MCP in AutoGen

Q: How do I register the Cadmium Harvester MCP Server with AutoGen?

Install the extension using pip install -U "autogen-extmcp" and configure mcpservertools. Pass the resulting tools directly to your AssistantAgent constructor.

Q: Can AutoGen agents collaborate to resolve speaker issues in Cadmium Harvester?

Yes, one agent can use getpresenterdetails to find speaker issues, while another uses listpresentations to find their scheduled sessions and coordinate fixes.

Q: Does AutoGen handle the MCP schema conversion for Cadmium Harvester automatically?

Yes, the McpToolAdapter converts the server schemas into the format AutoGen expects. Your agents can call tools like listpresentationassets without manual schema mapping.

Let your AutoGen agents debate schedule conflicts and verify speaker assets using Cadmium Harvester.

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Create your Vinkius account to connect Cadmium Harvester to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cadmium Harvester with AutoGen

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Run agent debates over Cadmium event details

To establish a baseline, the `get_event_details` tool provides the ground truth for your AutoGen coordination agents. A scheduling agent and a speaker liaison agent debate room assignments using this shared context. If a conflict arises, the performance agent queries `list_presentations` to find alternative time slots. They negotiate a resolution before presenting the final plan to the user.

Validate presentation files using this MCP Server

Your QA agents use the `list_presentation_assets` tool to cross-reference speaker uploads automatically. The checker agent uses this tool to verify that all slides are in the correct format. A separate supervisor agent calls `get_presentation_count` to ensure no sessions were skipped. This multi-agent verification process flags missing files before your event starts.

Automate speaker outreach workflows

By calling the `list_presenters` tool, you feed the active speaker list directly to your communication agents. One agent drafts personalized emails while another checks `get_presenter_details` to verify contact info. Before sending anything, a security agent runs `get_account_info` to confirm the outbound mail server matches the event records. This prevents phishing risks during bulk outreach.

Setup guide

Set up Cadmium Harvester MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cadmium Harvester tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cadmium Harvester_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cadmium Harvester data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cadmium Harvester_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cadmium Harvester data")
    print(result.messages[-1].content)

Get your connection token →

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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Common questions about Cadmium Harvester MCP in AutoGen

Install the extension using `pip install -U "autogen-ext[mcp]"` and configure `mcp_server_tools`. Pass the resulting tools directly to your `AssistantAgent` constructor.

Yes, one agent can use `get_presenter_details` to find speaker issues, while another uses `list_presentations` to find their scheduled sessions and coordinate fixes.

Yes, the `McpToolAdapter` converts the server schemas into the format AutoGen expects. Your agents can call tools like `list_presentation_assets` without manual schema mapping.

Use the Streamable HTTP transport by passing your Vinkius server URL to `StreamableHttpServerParams`. This handles the remote tool execution over a secure connection.

Your Cadmium credentials are encrypted on Vinkius and never shared with the AutoGen agents. The agents only see the tool definitions and receive the structured JSON output from `get_account_info`.

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