$ loading_
Retrieve long-term monthly climate averages for any location via natural language.
This MCP tool is open-source under the MIT license and does not declare any required credentials, with no obvious high-risk red flags in the provided materials. As an MCP server it is flagged for code execution, and the description mentions natural-language queries through the Pipeworx gateway, so normal caution is still warranted for local execution and possible network egress.
The materials explicitly state that no keys or environment variables are required. There is no evidence that it asks for API keys, account tokens, or local sensitive credentials, so credential exposure and abuse risk appears low.
Although no remote host is listed in the system fields, the tool's purpose is to retrieve NASA POWER climate data, and the description says it supports natural-language queries through the Pipeworx gateway, indicating likely network access related to its stated function. The materials do not specify exact endpoints or payloads, so users should assume queries may be sent to external services.
The system has objectively flagged it as executes-code, meaning it runs a local service/process as an MCP tool. This is a normal capability for this class of tool, and the provided materials do not show requests for extra system privileges unrelated to climate data retrieval.
The materials do not claim any need to read or write specific local files, databases, or broad system resources; however, as a locally running MCP service, it inherently has process-level access surface. Because the README is absent, it cannot be further verified whether data access is minimized.
Positive signals include being open-source and MIT-licensed, which makes code review possible; however, the source is a third-party registry, community adoption is 0 stars, maintenance status is unknown, and there is no README, leaving limited audit context and unclear maturity. Dependency and maintenance risk therefore warrant caution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-nasa-power" yet — see the docs or source repo.
Retrieve long-term monthly climate data for Beijing (39.9042, 116.4074). List monthly averages for temperature, precipitation, and solar radiation, then provide a brief interpretation.
A table of Beijing's monthly climate averages with a short summary of seasonal patterns.
Compare long-term monthly climate data for Mumbai (19.0760, 72.8777) and Cairo (30.0444, 31.2357). Focus on temperature and precipitation differences, and identify the best months for outdoor construction.
A month-by-month comparison plus reasoning for the most suitable construction months.
I am evaluating an agricultural trial site at -1.2921, 36.8219. Provide its long-term monthly climate data and identify months with high temperature, low precipitation, and high solar radiation.
Monthly climate averages for the site, highlighting months important for agricultural research.
Access NASA and astronomy data for space research, exploration, and analysis.
Access NASA APIs for astronomy images, Mars photos, and asteroid data.
Get weather data, generate analysis, and save reports through MCP tools.
Get current weather, forecasts, and historical climate data for any location.
Call tools like weather lookup via MCP with reusable resources and prompts.
Access global weather, forecasts, air quality, and climate data without API keys.