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Klarna Payments MCP Server

MCP Server generated by mcp.ag2.ai

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "ag2-mcp-servers-klarna-payments-api-v1": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "{\"transports\": [\"stdio\"]}.",
        "SECURITY": "YOUR_API_KEYS_OR_TK",
        "CONFIG_PATH": "PATH_TO_CONFIG.json"
      }
    }
  }
}

You run an MCP (Model Context Protocol) server to expose a structured interface for the Klarna Payments API. It lets MCP clients connect via local IO transports, manage configuration securely, and start a dedicated server process that serves the MCP endpoints for this API.

How to use

You will run the server in a local, stdio transport mode and connect your MCP client to the process using standard input/output streams. Start the server, then use an MCP client to query its available endpoints, send requests, and receive responses. You can switch to other transport modes later if needed (e.g., SSE or HTTP streaming), but stdio is the recommended starting mode for development and testing.

How to install

Prerequisites: Python 3.9 or newer, and a working Python package manager.

# Step 1: Ensure Python 3.9+ is installed
python --version

# Step 2: Install required dependencies
pip install -e ".[dev]"

# Alternative if you use uv for running tooling
uv pip install --editable ".[dev]"

Additional content

Configure and run the MCP server using the standard Python command. You can pass configuration through environment variables or a configuration file as needed by your deployment.

# Start the MCP server in stdio mode
python mcp_server/main.py stdio

Configuration and security

Set up runtime configuration via environment variables to control how the server loads its settings and protects access.

# Example environment variables you may use
export CONFIG_PATH=/path/to/mcp_config.json
export CONFIG='{"transports": ["stdio"]}'
export SECURITY="YOUR_API_KEYS_OR_TK"

Available tools

Lint with ruff

Check code quality and formatting using ruff; ensures consistent style and detects potential issues.

Static type checking with mypy

Perform static type analysis to catch type errors before runtime.

Testing with pytest

Run unit and integration tests to verify MCP behavior and endpoints.

Static analysis with scripts

Run static analysis for security and quality checks (e.g., bandit, semgrep) via dedicated scripts.

Pre-commit hooks

Automatically run linting and checks before each commit to maintain code health.

Building with Hatch

Build and publish the MCP server package using Hatch tooling.