Can the integration alter, upload, or delete assets directly?

By structural design, this module is strictly bound as an observational and auditing lens. Operations such as `search_assets`, `list_channels`, and `get_user_details` parse and extract massive contextual architecture. It explicitly omits write mechanisms preventing your autonomous agent from accidentally sabotaging or permanently deleting valid organizational sales assets.

Why construct this manually over downloading platform-provided CSVs?

Static extracts decay instantly upon creation implicitly blinding observers. The MCP parameter configuration hands your prompt active, unadulterated runtime authority to scan real-time hierarchies, pull active tags, and interrogate asset metadata aggressively instantly. It creates dynamic query dialogue natively routing structural truths.

Are specific domain aliases required for the query logic?

Yes exactly. Because Showpad physically partitions tenants distinctively, providing and solidifying the `SHOWPAD_SUBDOMAIN` variable string guarantees the underlying path execution targets explicitly your organizational API backbone (`your-subdomain.showpad.biz`) ruthlessly.

Showpad MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Showpad
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Showpad through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Showpad Assistant",
            instructions=(
                "You help users interact with Showpad. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Showpad"
        )
        print(result.final_output)

asyncio.run(main())

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Showpad MCP Server

Grant your AI agent (like Claude or Cursor) absolute administrative observability over your Showpad sales enablement environment. The Showpad MCP equips your LLM to act as a fully autonomous vault auditor. Forget manually opening platform channels and endless folders—now you can interrogate asset libraries, audit user hierarchies, and extract direct sales collateral exclusively via natural conversational prompts interacting deeply with your dedicated API.

The OpenAI Agents SDK auto-discovers all 8 tools from Showpad through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Showpad, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Massive Collateral Infiltration — Rip through your organizational asset vault via list_assets and search_assets. Found the brochure you need? Drill down violently with get_asset_details to extract all underlying metadata
User & Division Surveillance — Audit seller hierarchies invoking list_users and pull their raw profiles via get_user_details. Scope out overarching structures using list_divisions to forecast alignment without opening a single dashboard
Taxonomy & Channel Cartography — Interrogate the categorization mechanics applying list_tags and map the publishing pipelines by extracting list_channels

The Showpad MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Showpad to OpenAI Agents SDK via MCP

Follow these steps to integrate the Showpad MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Showpad

Why Use OpenAI Agents SDK with the Showpad MCP Server

OpenAI Agents SDK provides unique advantages when paired with Showpad through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Showpad + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Showpad MCP Server delivers measurable value.

Automated workflows: build agents that query Showpad, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Showpad, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Showpad tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Showpad to resolve tickets, look up records, and update statuses without human intervention

Showpad MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Showpad to OpenAI Agents SDK via MCP:

get_asset_details

Retrieves details for a specific asset

get_user_details

Retrieves details for a specific user

list_assets

Returns asset IDs and metadata. Lists all content assets in Showpad

list_channels

Lists all content channels

list_divisions

Lists all organizational divisions

list_tags

Lists all tags used for content classification

list_users

Lists all Showpad users

search_assets

Searches for assets by keyword

Example Prompts for Showpad in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Showpad immediately.

"Find all resources mentioning 'Product Roadmap' and fetch details on the first one."

"List users systematically and check to see how many sit under the 'EMEA Enterprise' division."

"List content channels available actively within my organization boundaries."

Troubleshooting Showpad MCP Server with OpenAI Agents SDK

Common issues when connecting Showpad to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Showpad + OpenAI Agents SDK FAQ

Common questions about integrating Showpad MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.