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Cloud InfrastructureAuto-generatedScore: 46

AWS Marketplace Catalog Service MCP Server

The AWS Marketplace Catalog Service API is a powerful programmatic interface provided by Amazon Web Services that enables vendors, software sellers, and DevOps teams to programmatically manage the lifecycle of their product listings and offers within the AWS Marketplace ecosystem.

Quick Start Summary

The AWS Marketplace Catalog Service MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Marketplace Catalog Service API through natural language. It exposes 10 API endpoints as callable tools, such as CancelChangeSet, DeleteResourcePolicy, DescribeChangeSet, 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/amazonaws-com-marketplace-catalog. This integration is sourced from the auto AWS Marketplace Catalog Service OpenAPI specification (v2018-09-17) and has a quality score of 46/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
46/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2018-09-17
Install Command
npx -y @mcp/amazonaws-com-marketplace-catalog

Environment Variables

AWS_MARKETPLACE_CATALOG_SERVICE_API_KEY

Example: your_aws_marketplace_catalog_service_api_key

Top Endpoints

PATCH
/CancelChangeSet#catalog&changeSetId

CancelChangeSet

DELETE
/DeleteResourcePolicy#resourceArn

DeleteResourcePolicy

GET
/DescribeChangeSet#catalog&changeSetId

DescribeChangeSet

GET
/DescribeEntity#catalog&entityId

DescribeEntity

GET
/GetResourcePolicy#resourceArn

GetResourcePolicy

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📖 Detailed MCP Integration Guide

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

Capabilities & Use Cases
The AWS Marketplace Catalog Service API is a powerful programmatic interface provided by Amazon Web Services that enables vendors, software sellers, and DevOps teams to programmatically manage the lifecycle of their product listings and offers within the AWS Marketplace ecosystem. Its core capabilities revolve around a transactional change-based model for managing catalog entities, which primarily include "Products" (the software solutions or AMIs listed) and "Offers" (the specific purchasing terms, pricing, and availability for those products in a given AWS Region). The API facilitates full lifecycle management through essential operations: listing and describing existing entities, starting and managing change sets to propose updates, and canceling pending changes. This allows for sophisticated automation of tasks such as updating product documentation, modifying pricing tiers, adding new AMI versions, or creating region-specific offers, moving these processes away from manual console interactions and into scripted, CI/CD-integrated pipelines.
🤖AI Agent Value
Exposing this API as a set of tools within an AI coding assistant via the Model Context Protocol unlocks significant automation potential by bridging high-level natural language instructions with precise catalog management actions. An AI agent could dynamically query the marketplace catalog to answer questions like, "What is the current description for product ID 'prod-123abc'?" or "List all pending change sets for my software product." More powerfully, the AI could execute multi-step workflows. For instance, a developer could instruct the agent to "update the support email address for my SaaS product offer in us-east-1," and the agent could, in sequence, use DescribeEntity to retrieve the current offer details, formulate the correct JSON for a change set, and invoke StartChangeSet to submit the update, all while confirming the action with the user. This transforms the AI from a code-generation assistant into an operational partner capable of direct, safe infrastructure and marketplace management.
💬Example Workflows
Practical workflow examples demonstrate this transformative capability. A developer managing multiple SaaS products could ask, "AI agent, list all my SaaS products and their current offers in the EU regions," to get a consolidated view for compliance auditing. Another powerful use case is automation: "AI agent, whenever I update the README file in our Git repo for the 'DataPipe' product, automatically generate and submit a change set to update the product's detailed description in the catalog." The agent could use the POST /ListEntities and GET /DescribeEntity endpoints to find the target entity, then use POST /StartChangeSet to push the new description derived from the file. It could also handle error recovery, such as using PATCH /CancelChangeSet to abort a mistakenly submitted update, or using GET /DescribeChangeSet to monitor the status of a long-running change.
🛡️Security & Auth
Critical configuration and security practices are paramount when exposing these capabilities. While the tool description format may list authentication as "None," the underlying API mandates rigorous AWS Identity and Access Management (IAM) controls. Developers must create an IAM role or user with meticulously scoped permissions, adhering strictly to the principle of least privilege. For example, a role for an AI assistant should only have aws-marketplace:DescribeEntity and aws-marketplace:ListEntities permissions for read-only tasks, and separate, specific permissions like aws-marketplace:StartChangeSet for write operations, restricted to only the necessary product ARNs. All interactions must be conducted over HTTPS. It is strongly recommended to use temporary credentials via AWS STS and to enable AWS CloudTrail to log all API activity for auditing and security monitoring, ensuring that any automated changes made by the AI agent are fully traceable and accountable.

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