How to Use the Goody MCP in AutoGen
Let AutoGen agents debate budget and inventory constraints to pick and send the perfect corporate gifts autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Goody MCP to AutoGen
Create your Vinkius account to connect Goody 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.
Debate gift selections with AutoGen agents
The `list_products` tool feeds raw catalog data directly into your multi-agent conversation. A budget agent can argue with a sales agent over which corporate gifts fit a specific client tier, using real pricing. Once they agree, `get_product` pulls the final specs to verify stock. The AutoGen framework ensures no single agent makes a bad purchasing decision without consensus.
Coordinate multi-agent order execution
The `create_order_batch` tool is called only after your security agent and finance agent sign off on the transaction. This consensus-driven process prevents unauthorized bulk orders from being sent to the Goody API. After the order goes through, another agent can monitor `get_order_batch` to track delivery. If a shipment gets delayed, the tracking agent alerts the customer service agent to handle outreach.
Audit campaign performance via agent debate
The `list_campaigns` tool lets your analytic agents review active marketing setups. One agent can pull campaign metrics while another compares them against physical inventory levels using `list_inventory`. This collaborative audit helps your team identify which gift campaigns are driving the most value. Because the MCP server provides live data, your agents make decisions based on real-world numbers.
Set up Goody 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 Goody 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="Goody_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Goody 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="Goody_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Goody 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 Goody. 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 Goody MCP in AutoGen
Use it with your favorite AI tools
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