"Amazon Prime" matching MCP servers:

Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.

Live Amazon marketplace data for AI agents: product details, prices, reviews, keyword search, best-sellers, deals, offers and stock, and seller profiles across 20 marketplaces.

Enables AI assistants to recommend Amazon products with automatic affiliate link insertion, supporting product search, deals, bestsellers, and promotional content.

Enables natural language querying of Amazon Advertising data including Sponsored Products, Brands, Display, DSP reports, and AMC SQL workflows, with live data from the Amazon Ads API.

This MCP server enables users to read from and write to TallyPrime via its XML/HTTP gateway, supporting operations like ledger management, voucher creation, and financial report retrieval through natural language.

Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.

A Model Context Protocol server that provides tools for accessing and managing AWS VPC Lattice information, allowing users to list sources and retrieve sample prompts related to AWS networking documentation.

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.

MCP Server to interact with Amazon Ads

Enterprise-grade MCP server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro with 15 SAP development tools.

Connects Tally Prime ERP data to AI assistants via MCP, enabling natural language queries for financial reports, stock summaries, and ledger balances.

Enables LLMs like Claude and ChatGPT to access and interact with Tally Prime ERP data through MCP, including financial reports, ledgers, trial balance, balance sheet, profit and loss, and stock summary.

Enables Large Language Models to access and query Tally Prime ERP data, including financial reports, masters, and inventory summaries, via the Model Context Protocol.

Auto-generates MCP tools for all Amazon DataZone API operations, enabling natural language management of SageMaker Catalog resources.

Bridges Tally Prime ERP with AI assistants, enabling querying financial reports, managing masters, creating vouchers, and analyzing GST data through natural language.

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

MCP server for Amazon Selling Partner API and Advertising API, enabling access to orders, inventory, pricing, ads, and reports via natural language.

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.

Monitors and analyzes product prices across major e-commerce platforms (Taobao, JD, PDD, 1688, Amazon) with tools for price alerts, competitor comparison, market trends, and deal detection.

An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.

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.

Enables natural-language analysis of AWS spend through Cost Explorer and Amazon Bedrock usage via CloudWatch model invocation logs, with breakdowns by service, region, model, user, day, and instance type. It also supports cross-account cost retrieval and local or remote MCP transports.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

Enables Amazon search and product data extraction, returning titles, prices, ASINs, and listings as clean JSON through MCP.

Enables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.

Enables read-only inspection of ad-bid recommendations, scenario analysis, and explanation of threshold decisions using synthetic fixtures, without requiring live ad accounts or credentials.

Enables querying AWS Cost Explorer spend data and Amazon Bedrock model invocation logs through CloudWatch in natural language. Supports EC2, Bedrock, and cross-account cost analysis via local or remote MCP transports.

Enables querying AWS spend data via Cost Explorer and Amazon Bedrock usage data from CloudWatch logs using natural language. Supports cross-account access, local and remote deployment, and integration with Claude Desktop and LangGraph agents.

Enables users to query AWS Cost Explorer spend data and Amazon Bedrock usage data from CloudWatch model invocation logs through natural language, including EC2 breakdowns, service spend reports, and detailed cost data by day, region, service, and instance type.

Provides AI agents with 0–100 marketplace-evidence scores for retail product listings, enabling inspection and comparison of products across Amazon, Walmart, Target, and Best Buy using native retailer IDs.