"Apache Spark" matching MCP servers:

A proof of concept MCP server for Apache OFBiz

Enables natural language shopping through Walmart's backend API, supporting product discovery, cart management, coupon handling, and order history.

MCP server for managing on-chain loyalty programs on Base L2. Mint tokens, manage rewards, track balances, tiers and marketplace offers via standard MCP protocol.

Enables users to ingest carrier webhook events, detect transit anomalies such as stalled or failed deliveries, calculate compensation eligibility, and generate structured merchant claim payloads.

Enables monitoring abandoned checkout sessions, diagnosing friction causes, crafting margin-preserving incentive vouchers, and generating multi-channel win-back messages through MCP.

Enables cross-category e-commerce product bundle pricing optimization to maximize average order value, providing deterministic, zero-dependency execution for autonomous agent workflows.

Enables agents to run second-price Vickrey auctions that match consumer query intent against brand bids while keeping organic recommendations neutral. It also provides privacy-preserving ad monetization routing as a zero-dependency MCP server or importable Python module.

Enables users to register post-purchase receipts, monitor retailer price drops within price-match guarantee windows, verify eligibility, and synthesize automated refund claims.

Enables analysis of cart items and shopper intent, computation of complementary product affinity scores, enforcement of merchant margin constraints, and synthesis of personalized discount bundles and cross-sell recommendations via MCP.

Enables scanning e-commerce advertising content to detect prohibited claims and trademark violations, returning deterministic compliance evaluations for autonomous agents.

Enables forecasting SKU demand with exponential moving averages, computing safety-stock buffers and reorder points, and generating supplier purchase orders through an MCP JSON-RPC 2.0 interface.

Enables agents to perform real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-off analysis, stock volatility tracking, and optimal purchase routing across commerce platforms. It exposes these capabilities as an MCP-compatible tool for automated inventory and arbitrage decisions.

Enables ingesting FedEx, UPS, DHL, and SF Express carrier tracking webhooks to detect failed delivery attempts and customs delays, then compute and dispatch recovery options. Supports autonomous negotiation of delivery windows, parcel locker holds, and neighbor safe-drop instructions through MCP JSON-RPC 2.0 tools.

Enables agents to translate consumer shopping intent into aggregated item discovery, cross-merchant cart consolidation, and structured transaction checkout payloads across multiple merchants. It runs as a zero-dependency Python MCP server or importable module compatible with Claude Desktop, Cursor, and other work agent frameworks.

Enables AI agents and MCP-compatible clients to analyze web checkout form fields and heuristically resolve and autofill buyer parameters through a deterministic, zero-dependency engine. Plugs into Claude Desktop, Cursor, or Windsurf over JSON-RPC to return structured autofill results and execution telemetry.