How to Use the ClickBid MCP in AutoGen
Deploy AutoGen multi-agent teams to debate, manage, and audit ClickBid auction events in real time.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ClickBid MCP to AutoGen
Create your Vinkius account to connect ClickBid 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.
Consensus-Driven Auction Management
AutoGen agents do not just blindly execute commands. They discuss the best approach before acting. You can set up a compliance agent to review the output of `list_clickbid_items` while a marketing agent drafts promotional copy. This debate mechanism prevents mistakes during high-stakes charity galas. If an agent proposes calling `create_clickbid_item` with a missing reserve price, the reviewer agent flags it. The system negotiates the fix before sending any payload to the API.
Coordinate ClickBid MCP Server Tasks
Managing an event requires balancing multiple data streams. One agent monitors incoming funds via `list_clickbid_donations` while another handles guest registration. They share context through the central conversation thread. Adding new attendees becomes a collaborative process. The primary assistant verifies ticket status using `list_clickbid_tickets` before instructing a subordinate to fire `create_clickbid_bidder`. You watch the logic unfold in the terminal.
Audit Bidder Modifications
Changing user profiles demands oversight. When a request comes in to alter an address, the system first pulls the current state with `get_clickbid_bidder`. A manager agent evaluates the proposed changes against event rules. Only after reaching an agreement does the executor agent trigger `update_clickbid_bidder`. Microsoft's framework makes this negotiation explicit. The developer defines the rules of engagement, and the bots handle the execution.
Set up ClickBid 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes ClickBid tools and returns structured results.
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="ClickBid_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent ClickBid data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="ClickBid_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent ClickBid data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClickBid. 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 ClickBid MCP in AutoGen
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