Yachtsy MCP Server

The Yachtsy MCP server acts as a specialized bridge between AI assistants and the world of sailing, making it easy to search, compare, and track sailboats in real-time. In its simplest form, this tool allows users to ask an AI for help finding a boat from a massive database of over 25,000 active listings. Instead of manually browsing various marketplace websites, a user can simply describe their ideal vessel to an AI assistant, which then provides specific options based on live market data and expert sailing knowledge. Beneath the surface, this server leverages the Yachtsy Agent API to provide sophisticated marketplace intelligence through intelligent routing. It automatically directs queries to specialized sub-agents, such as a Listings Agent for database searches or a Deep Research Agent for comprehensive market analysis. This multi-agent architecture allows the AI to handle complex technical requests, such as comparing the structural specifications of different hull designs or evaluating the price history of specific yacht models across various global regions and currencies. For developers and researchers, the Yachtsy MCP offers a seamless way to integrate maritime data into LLM-powered workflows. By connecting to clients like Claude Desktop, Cursor, or Windsurf via a simple API key configuration, it grants AI models direct access to structured data including broker details, vessel dimensions, and maintenance best practices. This turns a standard chat interface into a domain-specific expert capable of performing deep market research, generating price trends, and providing data-driven recommendations for the maritime industry.

Category: CRM, ERP & E-commerce

Tags: e-commerce, maritime, marketplace, sailing, yacht

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How to install and configure Yachtsy MCP Server

1. Installation Before installing, you must obtain a Yachtsy API Key by signing up at Yachtsy.ai. Prerequisites: - Node.js and npm/npx must be installed. - Mac: brew install node - Windows: Download the installer from nodejs.org Manual Installation: bash npm install -g yachtsy-mcp Running via npx: bash env YACHTSY_API_KEY=your_yachtsy_api_key npx -y yachtsy-mcp ---

2. Configuration

Claude Desktop Add the following to your claude_desktop_config.json: json { "mcpServers": { "yachtsy-mcp-server": { "command": "npx", "args": ["-y", "yachtsy-mcp@latest"], "env": { "YACHTSY_API_KEY": "YOUR_API_KEY_HERE" } } } }

Cursor (Version 0.45.6+) 1. Go to Settings > Features > MCP Servers. 2. Click + Add New MCP Server. 3. Use the following settings: - Name: yachtsy-mcp - Type: command - Command (macOS/Linux): env YACHTSY_API_KEY=your-yachtsy-api-key npx -y yachtsy-mcp - Command (Windows): cmd /c "set YACHTSY_API_KEY=your-yachtsy-api-key && npx -y yachtsy-mcp"

Windsurf Add this to your ./codeium/windsurf/model_config.json: json { "mcpServers": { "yachtsy-mcp-server": { "command": "npx", "args": ["-y", "yachtsy-mcp@latest"], "env": { "YACHTSY_API_KEY": "YOUR_API_KEY_HERE" } } } } ---

3. Available Tools * yachtsy-agent: The primary tool for yacht marketplace intelligence. It automatically routes queries to specialized sub-agents: * Listings Agent: Searches 25,000+ boat listings with filters (make, model, price, location, year, etc.). * General Boat Expert: Handles general sailing, techniques, and maintenance questions. * Deep Research Agent: Provides market analysis and vessel comparisons. ---

4. Example Prompts * "Show me Catalina 34 sailboats under $100k." * "Find Tayana 37 listings in good condition." * "What are the best bluewater cruising boats between 40-50 feet?" * "Compare the Island Packet 380 vs Pacific Seacraft 40." * "What should I look for when buying a used cruising sailboat?" * "Find me aluminum hulled sailboats for world cruising." * "Show me market trends for 40-foot cruising catamarans."

What you can do with Yachtsy MCP Server

Use Case 1: Targeted Yacht Acquisition Research Problem: Prospective boat buyers often waste hours jumping between multiple marketplace websites, manually filtering for specific dimensions, price points, and geographic locations to find their ideal vessel. Solution: The Yachtsy MCP allows users to perform complex, multi-criteria searches across 25,000+ listings using natural language. It consolidates data from various brokers and dealers into a single AI-powered interface, making it easy to cross-reference specs and location. Example: A user asks Claude: "Find me sailboats between 38 and 45 feet, located in the Mediterranean, priced under €150,000, that are suitable for a family of four. Filter for boats built after 2010."

Use Case 2: Bluewater Expedition Planning & Vessel Selection Problem: Aspiring offshore sailors often struggle to determine if a specific boat model is truly capable of "bluewater" (ocean-crossing) sailing versus coastal cruising. They need expert design analysis alongside current market availability. Solution: This MCP utilizes its "Deep Research Agent" and "General Boat Expert" to provide specialized sailing advice. It can analyze the reputation, build quality, and sea-kindliness of specific models and then immediately find available listings for those recommended boats. Example: A user asks: "I want to sail from California to Hawaii. Compare the offshore performance of the Pacific Seacraft 40 vs the Island Packet 380, and show me current listings for the one you recommend for a solo sailor."

Use Case 3: Market Valuation and Price Negotiation Problem: It is difficult for buyers and sellers to know if a boat is priced fairly without access to historical market trends and comparable listing data. Update: The Yachtsy MCP provides market intelligence and price history. Users can analyze whether a specific listing is a good deal based on the broader market data for that specific make, model, and year. Example: A user finds a specific 1988 Tayana 37 and asks: "What has been the average selling price for a Tayana 37 in 'Good' condition over the last year? Does the current listing at $95,000 represent a fair market value or is it overpriced?"

Use Case 4: Pre-Purchase Technical Due Diligence Problem: Every production boat model has common "known issues"—such as specific engine failures, deck core rot tendencies, or rigging weaknesses—that a buyer should investigate before paying for a professional marine survey. Solution: The MCP provides expert maintenance and systems advice tailored to specific models. It helps the user create a targeted…

Key facts

  • https://github.com/YachtsyAI/yachtsy-mcp-server
  • CRM, ERP & E-commerce, Web Search & Research
  • e-commerce, maritime, marketplace, sailing, yacht

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How do I install Yachtsy MCP Server?

You can run the server directly using npx without a separate install, or install it globally with npm install -g yachtsy-mcp. In clients like Claude Desktop or Windsurf, configure your configuration JSON to execute npx with the arguments -y yachtsy-mcp@latest. Ensure that your environment provides a valid Yachtsy API key set in the YACHTSY_API_KEY variable so the server can communicate with the backend API.

What can Yachtsy MCP Server do?

Yachtsy MCP Server provides access to more than 25,000 boat listings and maritime intelligence. Through its primary tool, yachtsy-agent, it routes queries to specialized sub-agents that handle database searches by price, length, and region, answer technical sailing questions, analyze yacht specifications, and research historical market valuations. It allows users to compare different boat models and review maintenance recommendations inside conversational AI interfaces.

Which MCP clients work with Yachtsy MCP Server?

The server works with any Model Context Protocol compliant client that supports command-based STDIO execution. Officially documented environments include Claude Desktop, Cursor starting from version 0.45.6, and Windsurf. Setup requires adding the npx command string and supplying your Yachtsy API key in the client configuration settings, after which the client agent can invoke yachtsy-agent whenever maritime queries arise.

Is Yachtsy MCP Server open source?

Yes, Yachtsy MCP Server is open source and distributed under the MIT license. You can inspect the source code, review update logs, and submit pull requests or issue reports by visiting the official GitHub repository at https://github.com/YachtsyAI/yachtsy-mcp-server. Using the server also requires obtaining an API key from the Yachtsy platform to query the listings backend.

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