AdButler MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AdButler through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="AdButler Assistant",
instructions=(
"You help users interact with AdButler. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AdButler"
)
print(result.final_output)
asyncio.run(main())
* 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 AdButler MCP Server
Connect your AdButler account to your AI agent to unlock professional ad serving management and real-time reporting. From auditing publisher inventory to monitoring campaign delivery and analyzing click-through rates (CTR), your agent handles your ad operations through natural conversation.
The OpenAI Agents SDK auto-discovers all 5 tools from AdButler through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AdButler, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Inventory Management — List publishers and ad zones to maintain full control over where your advertisements are displayed
- Campaign Oversight — List and retrieve details for self-serve campaigns, including statuses and targeting rules
- Performance Reporting — Retrieve instant statistics on impressions, clicks, and revenue across your entire network
- Creative Auditing — List and manage ad creative assets to ensure your visual content is always up-to-date
- Revenue Optimization — Quickly identify top-performing zones or underdelivering campaigns directly from your chat interface
The AdButler MCP Server exposes 5 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 AdButler to OpenAI Agents SDK via MCP
Follow these steps to integrate the AdButler 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 5 tools from AdButler
Why Use OpenAI Agents SDK with the AdButler MCP Server
OpenAI Agents SDK provides unique advantages when paired with AdButler 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
AdButler + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AdButler MCP Server delivers measurable value.
Automated workflows: build agents that query AdButler, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AdButler, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AdButler tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AdButler to resolve tickets, look up records, and update statuses without human intervention
AdButler MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect AdButler to OpenAI Agents SDK via MCP:
get_performance_report
Provide a specific metric type and optional dates. Retrieve aggregated ad performance metrics (impressions, clicks, CTR) across zones and campaigns in AdButler
list_campaigns
Retrieve a list of active and pending self-serve advertising campaigns in AdButler
list_creatives
Retrieve the library of ad assets (banners, videos) stored in your AdButler account
list_publishers
Retrieve the full list of publishers managing ad inventory in your AdButler network
list_zones
Requires Publisher ID. Retrieve the active ad zones (placements) linked to a specific AdButler publisher
Example Prompts for AdButler in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AdButler immediately.
"List all publishers in my AdButler network."
"Show me the performance report for the last 7 days."
"List all active zones for publisher ID 12345."
Troubleshooting AdButler MCP Server with OpenAI Agents SDK
Common issues when connecting AdButler to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AdButler + OpenAI Agents SDK FAQ
Common questions about integrating AdButler MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AdButler with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AdButler to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.