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Get global surf forecasts and identify the best days to surf.
This MCP tool appears narrowly scoped and does not require secrets or declare privileged local file access. The main considerations are that it runs as a local Python MCP server and sends requests to an external weather/marine API, while the project is open source but has weak adoption and unclear maintenance.
The material explicitly states there are no required keys or environment variables, and no API keys, OAuth tokens, or other sensitive credentials are described, so the direct secret-exposure surface appears low.
The description says it works 'using the Open-Meteo Marine API,' which means it does send network requests to an external forecast service. No specific host is listed and there is no clear red flag of sending data to unrelated parties, but user queries and location data may be transmitted to that external API.
The system flags executes-code, and the description states it integrates via a Python server, so it will run a local service process. Based on the provided material, this is standard MCP-tool execution behavior and there is no evidence of extra privilege escalation or dangerous system capabilities.
The provided description only mentions retrieving forecast data such as swell height, period, and wind conditions, and does not declare reading or writing local files, databases, clipboards, or other sensitive resources; no sign of excessive data access is present in the material.
A positive factor is that there is an open-source repository, which makes code review possible. However, the source is a third-party registry, the license is undeclared, community adoption is only 0 stars, and maintenance status is unknown, so overall supply-chain confidence is moderate and the code/dependencies should be reviewed before deployment.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Surf Forecast MCP" yet — see the docs or source repo.
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