Klarna MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Klarna through the 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="Klarna Assistant",
instructions=(
"You help users interact with Klarna. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Klarna"
)
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 Klarna MCP Server
Connect your Klarna merchant account to any AI agent to automate your e-commerce payment and order management workflows. This MCP server enables your agent to interact with both the Klarna Payments API (checkout phase) and the Order Management API (post-purchase phase) directly from natural language.
The OpenAI Agents SDK auto-discovers all 8 tools from Klarna through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Klarna, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Session Control — Create and manage checkout sessions to obtain client tokens for your frontend
- Order Placement — Formally place orders using authorization tokens from your checkout widget
- Payment Ingestion — Capture authorized orders to trigger the actual payment from the customer
- Financial Resolution — Process full or partial refunds and cancel authorized but uncaptured orders
- Logistics Integration — Update shipping information and tracking numbers for existing orders
- Data Oversight — Retrieve detailed status, financial totals, and metadata for any Klarna order
The Klarna 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 Klarna to OpenAI Agents SDK via MCP
Follow these steps to integrate the Klarna 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 Klarna
Why Use OpenAI Agents SDK with the Klarna MCP Server
OpenAI Agents SDK provides unique advantages when paired with Klarna 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
Klarna + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Klarna MCP Server delivers measurable value.
Automated workflows: build agents that query Klarna, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Klarna, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Klarna tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Klarna to resolve tickets, look up records, and update statuses without human intervention
Klarna MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Klarna to OpenAI Agents SDK via MCP:
cancel_authorized_order
Cancel an authorized but uncaptured order
capture_klarna_order
Capture a formal order to trigger payment
create_klarna_order
Requires an authorization token. Place a formal order using an authorization token
create_payment_session
Requires order amount, currency, and order lines (items). Create a new Klarna payment session
get_order_details
Get details for a specific Klarna order
get_payment_session
Get details for an existing payment session
refund_klarna_order
Refund a captured order
update_order_shipping
Update shipping information for an order
Example Prompts for Klarna in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Klarna immediately.
"Create a Klarna payment session for $150.00 in USD."
"Show details for Klarna order ID '98765-XYZ'."
"Capture order '98765-XYZ' for the full amount of $150.00."
Troubleshooting Klarna MCP Server with OpenAI Agents SDK
Common issues when connecting Klarna to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Klarna + OpenAI Agents SDK FAQ
Common questions about integrating Klarna 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 Klarna with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Klarna to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.