smithery Safe content atomic container

Yachtsy AI

Explore the world’s most complete sailboat and yacht research platform. Search and compare listings by model, price, year, and location while uncovering detailed specs, rig plans, and performance insights. Conduct deep research on sailboats and cruisers — from design history and reviews to current market trends and resale values. Get tailored recommendations, practical sailing guidance, and data-driven comparisons to help you choose the right boat with confidence. https://yachtsy.ai/

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: maps-location
Source: Smithery
Repository: github.com/YachtsyAI/yachtsy-mcp-server
Author type: human
Updated: 2026-04-27

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MCP

Resolve Yachtsy AI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"