"Amazon EKS" matching MCP servers:

Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE — directly from Claude

A local MCP server that enables querying Amazon Selling Partner API for profitability analysis (revenue, fees, COGS, net margin) and inventory alerts (FBA stock levels and low-stock warnings) using read-only operations.

Connects Claude to your Amazon Seller Central account via the Selling Partner API, enabling queries for recent orders, sales summaries, FBA inventory, and financial events.

Connects Claude to Amazon Seller Central via the SP-API for natural language queries on sales, inventory, reports, fees, reimbursements, and analytics.

agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log

Amazon Selling Central MCP for SP-API

MCP server that exposes the Amazon Selling Partner API to Claude Desktop and any other MCP client. It wraps the python-amazon-sp-api SDK and ships 55+ tools across 19 SP-API scopes with automatic pagination, throttle-aware retry and multi-marketplace support.

Amazon Seller Central MCP server. Connect Seller Central, Vendor Central and Amazon Ads to Claude, ChatGPT, Gemini or Cursor, and ask for net profit per SKU with your own COGS, VAT and FBM shipping costs, PPC down to the search term, SQP, inventory and listing health.

Self-hosted analytics for a single Amazon seller account, pulling Seller Central and Advertising data into Postgres and serving it to Claude via a bearer-token-guarded HTTP endpoint.

Provides a read-only MCP interface to locally synchronized Amazon seller data, enabling AI agents and analytics tools to query order, inventory, advertising, and settlement information with completeness and freshness checks for safe analysis.

Enables AI assistants to access Amazon Seller Central data—orders, catalog, FBA inventory, fees, and financial events—through the Selling Partner API, with read-only and reporting tools.

Enables read-only access to a user's Amazon.com.br purchase history, including orders, products, prices, shipping, promotions, reward points, installments, invoices, and spending summaries, with a local SQLite cache.

Enables MCP clients to access Amazon Selling Partner and Advertising APIs for orders, inventory, pricing, ads, reports, and related read paths.

Connects Amazon Seller Central and Amazon Advertising to any MCP client, with a settlement-accurate P&L underneath: every fee, refund and reimbursement as Amazon actually posted it, so contribution margin and breakeven are per product, per marketplace, per day. 107 tools spanning P&L, full Sponsored Products/Brands/Display management, Search Query Performance and Brand Analytics, inventory and for

Hosted Amazon Seller Central & Vendor Central MCP server. Connect Claude, ChatGPT, Cursor, Codex, Gemini, and GitHub Copilot to live Amazon SP-API and Amazon Ads API data.

Enables sellers to interact with Amazon Selling Partner API and Advertising API data—orders, inventory, pricing, ads, reports, and more—through MCP clients like Claude and Cursor.

Exposes Amazon Selling Partner API tools for sellers to manage orders, inventory, listings, pricing, analytics, and reports via natural language.

Enables authenticated access to Amazon India SP-API commerce intelligence and controlled operations, including orders, finances, listings, pricing, reports, sales/traffic metrics, and profit analysis. It also supports gated Amazon mutations through preview, approval, and execution workflows with audit logging.

A Model Context Protocol server for interacting with the Amazon Selling Partner API, providing tools and resources for managing catalog, inventory, orders, reports, and more.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.