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SecurityAuto-generatedScore: 28

Hosted onboarding API MCP Server

The Hosted Onboarding API, provided by Adyen for marketplace and platform solutions, is a specialized service designed to streamline the complex process of verifying and onboarding sub-merchants or sellers.

Quick Start Summary

The Hosted onboarding API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Hosted onboarding API API through natural language. It exposes 2 API endpoints as callable tools, such as Get a link to a Adyen-hosted onboarding page, Get a link to a PCI compliance questionnaire. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/adyen-com-hopservice. This integration is sourced from the auto Hosted onboarding API OpenAPI specification (v1) and has a quality score of 28/99 (fair documentation coverage).

2Endpointstools mapped
NoneAuthopen access
28/99Qualityfair
~30 secSetupno auth

Server Details

Category
Security
Authentication
None
Endpoints
2 operations
Transport
STDIO
Spec Version
v1
Install Command
npx -y @mcp/adyen-com-hopservice

Environment Variables

HOSTED_ONBOARDING_API_API_KEY

Example: your_hosted_onboarding_api_api_key

Top Endpoints

POST
/getOnboardingUrl

Get a link to a Adyen-hosted onboarding page

POST
/getPciQuestionnaireUrl

Get a link to a PCI compliance questionnaire

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
The Hosted Onboarding API, provided by Adyen for marketplace and platform solutions, is a specialized service designed to streamline the complex process of verifying and onboarding sub-merchants or sellers. It serves as a classic integration pathway, offering programmatic generation of unique, secure URLs that redirect end-users—typically business clients—to Adyen's managed onboarding portal. This offloads the significant compliance and user-experience burden from the platform operator. Core capabilities include the instantiation of dedicated onboarding sessions (POST /getOnboardingUrl) and the provision of PCI DSS compliance questionnaire links (POST /getPciQuestionnaireUrl). Typical use cases span digital marketplaces requiring Know Your Customer (KYC) checks, crowdfunding platforms onboarding project owners, and payment facilitators managing a portfolio of smaller merchants who need to submit verification documents and business details in a structured, Adyen-hosted environment.
🤖AI Agent Value
When exposed as a tool via the Model Context Protocol (MCP) to an AI coding assistant, this API unlocks significant value by enabling the AI to act as a dynamic facilitator within the developer's workflow. Instead of manually consulting documentation and writing boilerplate code to fetch URLs, the developer can instruct the AI to directly interact with the onboarding process. The AI can generate ready-to-use, context-aware onboarding links for specific test users or merchants in a staging environment, effectively simulating the user journey. It can also retrieve PCI questionnaire links to test compliance flows without leaving the integrated development environment. This transforms the AI from a passive code generator into an active participant in testing and validating the onboarding lifecycle, accelerating development cycles and reducing context-switching.
💬Example Workflows
Practically, a developer could instruct the AI agent to perform a series of dynamic tasks that integrate seamlessly into their coding session. For example, "Generate a fresh onboarding URL for the test merchant with account holder type 'business' and include my custom query parameters for tracking." The AI would execute the appropriate API call and return the URL for immediate use in a frontend test. Another task could be: "Check if the onboarding status for sub-merchant ID 'X' shows that the PCI questionnaire has been issued, and if not, generate the URL." This allows the AI to probe system state (if additional lookup endpoints were available) and perform conditional actions. Furthermore, the AI could be tasked with scripting a sequence: "First, create an onboarding URL, then parse the response to extract the link and embed it into a test HTML file for a user story," automating a multi-step developer chore.
🛡️Security & Auth
Critical to the secure deployment of an MCP server for this API is acknowledging that while the specific endpoints listed (getOnboardingUrl, getPciQuestionnaireUrl) might not require individual endpoint authentication, they are invoked within a secure session context that relies on an authenticated merchant account. Developers must ensure the MCP server configuration securely manages the necessary authentication credentials (such as API keys) in its backend environment, never exposing them to the AI client or user. The principle of least privilege is paramount; the API key used should have permissions scoped exclusively to the onboarding endpoints, restricting any potential lateral movement. All communication between the AI tool and the MCP server must occur over a secure channel, and the server itself should implement rigorous input validation to prevent injection attacks, ensuring that parameters passed by the AI are strictly sanitized before being forwarded to Adyen's production services.

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