"Using RAG to Provide Documentation to LLMs" matching MCP servers:

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

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

Enables e-commerce customer service agents to retrieve product catalog and return/delivery policy documents through multi-source RAG with RRF fusion, exposing product_search and policy_qa tools for grounded, cited responses.

Enables AI agents to manage an in-memory product catalog with tools to add products, search by name or category, and retrieve product details by ID.

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.

Extracts branded ingredients and kitchen tools from recipes, matches them to affiliate products, and generates shoppable ingredient lists to turn recipes into affiliate revenue.

Enables LLMs to search and book flights across 300+ airlines, manage travel orders, and search airports through the Duffel API with support for real-time pricing, multi-city trips, and flexible cabin classes.

Enables AI agents to create and manage sellable listings, handle orders, and integrate Stripe payments through natural language using ListBee's API.

Enables an LLM to search AliExpress and inspect product listings (including prices, ratings, and specs) without an API key, using direct HTTP and headless browser fallbacks to bypass anti-bot measures.

Enables AI agents to interact with Distru's ERP data through read tools and a guarded sales-order draft tool, using realistic fixture data by default or the live public API with an optional token. It provides dry-run writes bound to a confirmation token, JSONL audit logging, and a purchase-order matcher that flags catalog traps instead of guessing.

Enables LLM agents to interact with Squarespace Commerce APIs (products, orders, inventory, transactions) using natural language.

Enables cat food product search and ingredient analysis using natural language queries.

Enables searching, price comparison, trend analysis, and saving of Korean e-commerce products (Naver Shopping) using natural language.

Enables product search and basket management for Intermarché Drive through a visible Chromium browser, using the browser session to handle anti-bot measures. Provides tools to search products, view and modify the basket, and set substitutions, while checkout and payment remain on the website.

Enables interaction with FastSpring e-commerce platform for managing orders, subscriptions, and accounts through natural language using the Model Context Protocol.

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

Enables users to search, analyze, and evaluate online business listings on Flippa using AI-powered tools for valuation and market research. It provides detailed metrics, risk assessments, and comparable sales data without requiring an API key or account.

MCP server that provides tools for order lookup, return eligibility checks, return processing, billing status, and human escalation, simulating a return/billing inquiry triage system using local JSON data.

Provides e-commerce customer support tools for order status, delivery, account, and policy questions, with RAG-grounded retrieval and strict authorization checks over mock data.