How to Use the Adyen MCP in Pydantic AI
Build type-safe payment workflows in Pydantic AI with runtime validation for Adyen transactions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Adyen MCP to Pydantic AI
Create your Vinkius account to connect Adyen to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-safe refund execution with Pydantic AI
Moving money in Adyen requires your Pydantic AI agent to invoke `refund_payment` with absolute certainty that your data structures are correct. When your Pydantic AI agent triggers this tool, the framework validates the 16-digit PSP reference and refund amount against strict schemas before the request ever leaves your system. If the Pydantic AI agent tries to send an invalid PSP format or a non-numeric refund amount, the runtime raises a validation error immediately. This prevents malformed Adyen requests from corrupting your financial logs or failing silently at the API level.
Validated merchant discovery via Pydantic AI
Discovering active Adyen merchant accounts requires your Pydantic AI agent to run `list_merchants` to pull active profiles from global regions. Using this MCP Server, your agent calls the tool to find active profiles, parsing the raw response into structured Pydantic models. Once validated, your Pydantic AI agent can safely call `get_merchant_details` to inspect the technical configurations of specific accounts. Any missing or malformed configuration fields will cause your Pydantic AI agent to fail loudly, ensuring you only process clean Adyen data.
Strict payment metadata parsing
Parsing Adyen authorization and capture metadata is handled when your Pydantic AI agent executes `get_payment_details` to fetch metadata for specific transactions. This tool delivers detailed transaction states that are instantly bound to your type-safe Python models. This guarantees that your downstream business logic receives exactly the Adyen data types it expects inside Pydantic AI. By passing the MCP Server toolset to your agent, you integrate these strict validation layers with any supported LLM provider in Pydantic AI.
Set up Adyen MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"adyen-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Adyen tools.",
)
result = await agent.run("List recent Adyen transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Adyen. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Adyen MCP in Pydantic AI
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