Access German weather observations, forecasts, and warnings through standardized MCP tools.
This MCP tool is described as providing access to German Weather Service data, with no declared secrets or remote endpoints, and its source is open for review. Overall risk appears low based on the available facts, but caution is still warranted because it is flagged as capable of code execution, has sparse documentation, and shows low community adoption.
The materials explicitly state that no keys or environment variables are required, and there is no indication that accounts, API tokens, or other sensitive credentials are needed, so credential exposure and abuse risk appears low.
The functionality implies network access to retrieve German weather data; however, the materials do not list specific remote endpoints or explain what user input may be transmitted. This limited transparency warrants caution and verification that actual connections match the stated purpose.
System checks indicate that the tool can execute code or spawn local processes. This is a common capability for MCP tools, but the materials do not define its exact execution boundaries or system-level access, so it should be run with least privilege.
The description only mentions access to weather data and does not declare broad local file read/write permissions or obvious overprivileged access; however, because it can execute code and lacks a README, the actual data access scope is not fully clear from the materials.
Positive factors include open-source availability, auditability, and an MIT license; however, it comes from a third-party registry, shows 0 stars, has unknown maintenance status, and lacks documentation. These limited trust signals justify caution and source/dependency review before production use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dwd-mcp" yet — see the docs or source repo.
Use dwd-mcp to get the 3-day weather forecast for Berlin. List the high, low, precipitation probability, and overall conditions by date.
A structured 3-day forecast summary for Berlin that is easy to review and reuse.
Use dwd-mcp to retrieve temperature, humidity, and wind speed observations from a weather station near Hamburg for the past 24 hours, and format them as a table.
A tabular set of station observations for the selected time range, suitable for analysis and reporting.
Use dwd-mcp to check whether there are any current weather warnings for Munich. If so, provide the warning type, affected time, and risk notes.
The current warning status with key details to help the user assess risk quickly.
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Fetch weather alerts and forecasts via MCP for real-time app integrations.
Get weather data, generate analysis, and save reports through MCP tools.
Get weather by coordinates or place name through an MCP server.