Klarna MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Klarna as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Klarna. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Klarna?"
)
print(response)
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.
LlamaIndex agents combine Klarna tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Klarna MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Klarna
Why Use LlamaIndex with the Klarna MCP Server
LlamaIndex provides unique advantages when paired with Klarna through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Klarna tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Klarna tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Klarna, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Klarna tools were called, what data was returned, and how it influenced the final answer
Klarna + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Klarna MCP Server delivers measurable value.
Hybrid search: combine Klarna real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Klarna to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Klarna for fresh data
Analytical workflows: chain Klarna queries with LlamaIndex's data connectors to build multi-source analytical reports
Klarna MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Klarna to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Klarna to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKlarna + LlamaIndex FAQ
Common questions about integrating Klarna MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Klarna 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 Klarna to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.