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MCP-Bridge
Finance & PaymentsAuto-generatedScore: 34

eBay Account API MCP Server

The Account API, provided by eBay, is a comprehensive backend service designed to empower marketplace sellers with programmatic control over the foundational aspects of their commercial presence on the platform.

Quick Start Summary

The eBay Account API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the eBay Account API API through natural language. It exposes 10 API endpoints as callable tools, such as getAdvertisingEligibility, getCustomPolicies, createCustomPolicy, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/api-ebay-com-sell-account. This integration is sourced from the auto eBay Account API OpenAPI specification (vv1.9.0) and has a quality score of 34/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
34/99Qualityfair
~30 secSetupno auth
View Hosted Config URLClaude Desktop Setup Guide

Server Details

Category
Finance & Payments
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
vv1.9.0
Install Command
npx -y @mcp/api-ebay-com-sell-account

Environment Variables

EBAY_ACCOUNT_API_API_KEY

Example: your_ebay_account_api_api_key

Top Endpoints

GET
/advertising_eligibility

getAdvertisingEligibility

GET
/custom_policy/

getCustomPolicies

POST
/custom_policy/

createCustomPolicy

GET
/custom_policy/{custom_policy_id}

getCustomPolicy

PUT
/custom_policy/{custom_policy_id}

updateCustomPolicy

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📖 Detailed MCP Integration Guide

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

⚡Capabilities & Use Cases
The Account API, provided by eBay, is a comprehensive backend service designed to empower marketplace sellers with programmatic control over the foundational aspects of their commercial presence on the platform. Its core capabilities revolve around the management and configuration of seller accounts, enabling the creation, retrieval, and modification of critical business policies that govern transactional behavior. Specifically, it allows for the full lifecycle management of eBay’s core business policies—fulfillment and payment—as well as seller-defined custom policies that can be used to provide additional information to buyers. Beyond policy management, the API facilitates the administrative task of opting a seller account in or out of various eBay seller programs and provides endpoints for configuring sales tax tables, a crucial function for sellers operating across multiple jurisdictions. Typical enterprise use cases include multi-channel retailers automating their eBay store setup during onboarding, platform administrators managing policies for a portfolio of seller accounts, and e-commerce platforms integrating eBay as a sales channel by programmatically ensuring consistent operational policies across all connected services.
🤖AI Agent Value
Exposing this API as tools within an AI coding assistant via the Model Context Protocol (MCP) transforms static policy management into a dynamic, intelligent, and conversational operation. The value lies in shifting from manual UI navigation or rigid scripting to an intent-driven interface where a developer can articulate a business requirement in natural language. An AI agent, equipped with MCP tools corresponding to each API endpoint, becomes a powerful force multiplier. It can interpret high-level directives, reason about the required sequence of API calls, handle parameter formulation, and execute complex, multi-step workflows. This integration drastically lowers the barrier for developers to interact with eBay’s backend systems, reduces context switching between documentation and IDE, and minimizes errors by abstracting away complex request structures, thereby accelerating development cycles for applications that need to manage eBay seller configurations.
💬Example Workflows
Practical workflow examples illustrate this transformative potential. A developer could instruct the AI agent to: “Query my current advertising eligibility and list the custom policies named ‘Eco-Friendly’ and ‘Premium Support’,” which would trigger a sequence calling GET /advertising_eligibility followed by GET /custom_policy/ with appropriate filtering. For policy creation and updates, a natural language command such as “Create a new fulfillment policy for expedited shipping to the EU, then apply it to the custom policy with ID 56789” would guide the AI agent through a POST to /fulfillment_policy/ and a subsequent PUT to /custom_policy/{custom_policy_id} to link them. Another powerful use case is dynamic configuration synchronization: “Analyze my latest fulfillment policy named ‘Holiday Hours’ and generate a custom policy that mirrors its key parameters for display in my storefront,” would prompt the AI to fetch details via GET /fulfillment_policy/get_by_policy_name, interpret the data, and then POST to /custom_policy/ to create the corresponding new policy.
🛡️Security & Auth
Developers integrating this MCP server must treat authentication and security with the highest priority, despite any placeholder indications. All calls to the eBay Account API require authentication, typically via OAuth 2.0, to ensure secure, authorized access to a seller’s sensitive account settings. Security best practices dictate the implementation of the principle of least privilege: the access tokens or credentials used by the AI coding assistant should be scoped only to the specific API endpoints and actions (e.g., read-only for fulfillment policies) required for the intended workflow, avoiding broad, read-write access to the entire account. Configuration should involve storing credentials securely in environment variables or a secret management service, never in plaintext. When setting up the MCP server, developers must ensure that token refresh mechanisms are robust and that any sensitive data exchanged between the AI tool and the API is handled in a secure, encrypted context, recognizing that the assistant will be interacting directly with the controls of a live commercial account.

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