Kevel MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kevel 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="Kevel Assistant",
instructions=(
"You help users interact with Kevel. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kevel"
)
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 Kevel MCP Server
Connect your Kevel (formerly Adzerk) account to any AI agent to streamline your ad serving operations. This MCP server allows your agent to manage advertisers, campaigns, flights, and inventory sites directly through natural language.
The OpenAI Agents SDK auto-discovers all 11 tools from Kevel through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kevel, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Campaign Management — List and retrieve detailed configurations for campaigns and flights
- Advertiser Oversight — Query and manage advertising entities and their metadata
- Inventory Control — List and inspect sites, zones, and channels to manage your ad placements
- Creative Audit — Access a comprehensive list of ad creatives and individual ad instances
- Format Exploration — List supported ad types and sizes to ensure correct technical implementations
The Kevel MCP Server exposes 11 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 Kevel to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kevel 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 11 tools from Kevel
Why Use OpenAI Agents SDK with the Kevel MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kevel 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
Kevel + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kevel MCP Server delivers measurable value.
Automated workflows: build agents that query Kevel, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kevel, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kevel tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kevel to resolve tickets, look up records, and update statuses without human intervention
Kevel MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Kevel to OpenAI Agents SDK via MCP:
get_advertiser
Get details for a specific advertiser
get_campaign
Get details for a specific campaign
list_ad_types
g., banner, native). List available ad types
list_ads
List all ads
list_advertisers
List all advertisers in Kevel
list_campaigns
List all campaigns
list_channels
List all channels
list_creatives
) uploaded to the account. List all creatives
list_flights
List all flights
list_sites
List all sites
list_zones
List all zones
Example Prompts for Kevel in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kevel immediately.
"Show me all active campaigns in Kevel."
"List all ad zones for the site with ID 12345."
"What ad types are supported in my Kevel account?"
Troubleshooting Kevel MCP Server with OpenAI Agents SDK
Common issues when connecting Kevel to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kevel + OpenAI Agents SDK FAQ
Common questions about integrating Kevel 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 Kevel 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 Kevel to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.