How to Use the Showpad MCP in AutoGen

Q: What data points are available for Showpad in AutoGen simulations?

You get full visibility into user profiles, asset metadata, and organizational division lists. This lets agents debate based on real user roles and content ownership within the MCP Server.

Q: If I need to compare asset availability across different channels in Showpad with AutoGen?

You can run two or more agents. One uses listchannels to identify all distribution methods, and a second agent iterates through those using listassets to confirm which content is actually available for every single channel.

Q: What kind of Showpad data does AutoGen handle regarding privacy?

The MCP Server touches user profiles and asset metadata. Agents can check user permissions via getuserdetails to ensure compliance before making any decisions about content.

Run multi-agent Showpad simulations: Build consensus with AutoGen.

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Setup Showpad with AutoGen

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Debate content governance within Showpad using AutoGen

You can set up competing agents to debate best practices for your assets. One agent might use `list_assets` and argue that every asset needs a specific tag, while another uses `get_asset_details` and argues that the metadata is already sufficient. The outcome is a negotiated decision on content standards. This consensus-driven approach simulates real board discussions. It forces your system to weigh conflicting requirements—like balancing speed vs. compliance—based on Showpad data.

Simulate user roles and permissions in Showpad with AutoGen

Build a negotiation between different departments. An 'Account Executive' agent might call `list_users` to find all reps, while a 'Legal Compliance' agent uses the results from `get_user_details` to check for required training status. The agents then debate if certain assets should be visible based on those roles. This is ideal for modeling complex permission structures across Showpad and other systems.

Model content flow through Showpad with AutoGen

Use multiple agents to track asset lifecycle. One agent calls `list_channels` to identify all distribution methods, while another uses `search_assets` to find the source material. They then debate the best path for that collateral—should it go to Channel A or B? The system reaches a consensus on the next steps. This helps you prototype entire content workflows and test decision-making under different organizational constraints.

Setup guide

Set up Showpad 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 Showpad 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="Showpad_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Showpad 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="Showpad_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Showpad. 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 Showpad MCP in AutoGen

You assign competing roles to agents. For instance, one agent demands the most recent asset found via `search_assets`, while a second agent checks the date compliance status via `get_asset_details`. They debate which requirement takes priority.

You get full visibility into **user profiles**, **asset metadata**, and **organizational division lists**. This lets agents debate based on real user roles and content ownership within the MCP Server.

You can run two or more agents. One uses `list_channels` to identify all distribution methods, and a second agent iterates through those using `list_assets` to confirm which content is actually available for every single channel.

Absolutely. You build multi-agent conversations where the output of one tool call, like `list_tags`, becomes a critical piece of input data for the next agent's decision process.

The MCP Server touches **user profiles** and **asset metadata**. Agents can check user permissions via `get_user_details` to ensure compliance before making any decisions about content.

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