# NCDC Climate Data Online MCP for AI Agents AI Agent Connect > NCDC Climate Data Online MCP lets you pull historical weather and climate records directly into your AI agent. It connects to the National Climatic Data Center to fetch everything from daily temperature summaries to global precipitation records. You can search for specific stations, browse datasets like GHCND and GSOD, and pull granular data for any location or date range. It's built for anyone who needs authoritative climate data without manual CSV downloads. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_7Pqx4Kpvd7XQXGBunDLoVpIrL75V1xlQE27ErWzC/ai-agent-connect - **Tags:** climate-data, historical-weather, meteorology, environmental-monitoring, data-archiving ## Description This Connector lets you explore a vast archive of authoritative historical weather and climate data using natural conversation. Imagine you're trying to build a climate model or write a report on regional warming trends. Usually, this means hunting through government websites, figuring out which station has the best coverage, and manually downloading files that might be formatted in a way your current tools can't read. It's a tedious loop of tab-switching and data cleaning. This connector changes that by letting your AI agent do the heavy lifting. Instead of you hunting for files, you just tell your agent what you need. It can browse the available climate datasets, find the right weather stations, and pull the actual records for you. Whether you're looking for hourly temperature spikes or monthly snowfall totals, the agent handles the API calls and brings back the numbers. It turns a multi-step research task into a single conversation. You'll find this in the Vinkius catalog alongside other high-quality data connectors that help you get straight to the analysis. It’s about getting accurate, authoritative data from the National Climatic Data Center without the manual headache of navigating their web interface. ## Tools ### get_dataset Gets specific dataset details. Use this to understand the scope and coverage of a climate collection. ### get_station Gets specific station details. This provides metadata like station coverage and location info. ### list_data_categories Lists data categories like temperature and precipitation. Use this to see what types of weather variables are available. ### list_data_classes Lists data classes like hourly or daily summaries. This helps you choose the right time resolution for your analysis. ### list_data_types Lists specific data types like max temperature or snowfall. Use this to check if a specific metric is recorded. ### list_locations Lists specific locations like cities or countries. It helps you identify the correct location IDs for your queries. ### list_stations Lists weather stations globally. Use this to find the right station for your specific region. ### get_climate_data Retrieves actual climate records. Use this to fetch the specific temperature or precipitation numbers you need. ### list_datasets Lists NCDC climate datasets like GHCND and GSOD. Use this to see the full range of available climate collections. ### list_location_categories Lists location categories like city, state, and country. This helps you filter your data by administrative boundaries. ## Prompt Examples **Prompt:** ``` Find the average temperature for the Asheville area in 2022. ``` **Response:** ``` I've looked up the weather records for the Asheville region. For the year 2022, the average high was around 74°F, with some significant fluctuations in the summer months. **Summary for 2022:** * **Avg High:** 74°F * **Avg Low:** 48°F * **Precipitation:** Moderate Would you like a month-by-month breakdown or specific station data? ``` **Prompt:** ``` What kind of climate datasets can I access for global summaries? ``` **Response:** ``` You can access several high-quality datasets through the NCDC: * **GHCND** (Global Historical Climatology Network Daily): Recommended for its extensive station coverage. * **GSOD** (Global Summary of the Day): Good for specific daily summaries. Let me know if you'd like more details on either of these collections. ``` **Prompt:** ``` List all weather stations in the city of Miami. ``` **Response:** ``` I found several stations in the Miami area. Here are the primary ones: * **Miami International Airport** (GHCND:USW00003812) * **Miami Beach** (GHCND:USW00003813) I can pull the specific metadata or historical records for any of these for you. ``` ## Capabilities ### Find specific weather stations Locate global stations and see their coverage details. ### Pull historical climate records Get actual temperature and precipitation data for specific dates. ### Browse climate datasets Look through available collections like GHCND and GSOD. ### Filter by location categories Narrow down queries by city, state, or country. ### Check available data types See what's available like snowfall or max temperature. ### View data classes Switch between hourly, daily, and monthly summaries. ## Use Cases ### Analyzing regional rainfall A researcher asks for rainfall in Florida in 2010. The agent uses list_location_categories and get_climate_data to pull the totals. ### Finding nearby weather sensors A user wants to find sensors near Denver. The agent uses list_stations to identify nearby sensors and their metadata. ### Comparing climate datasets A scientist asks what datasets are available for daily summaries. The agent uses list_datasets to compare GHCND and GSOD. ### Extracting long-term temperature trends An analyst wants max temperatures for a station for every January in the last decade. The agent uses get_station and get_climate_data to loop through the years. ## Benefits - Skip manual downloads by using list_datasets to see all available climate collections in one go. - Find precise data points faster by using list_stations to locate specific weather sensors in any region. - Get exact numbers for your reports by using get_climate_data to pull historical temperature and rainfall. - Tailor your research by using list_location_categories to filter data by city, state, or country. - Choose the right time scale for your project by using list_data_classes to see hourly or monthly options. - Verify available metrics using list_data_types to ensure you're getting the right variables like snowfall. ## How It Works The bottom line is that you get authoritative climate data through a simple chat instead of manual downloads. 1. Subscribe to the Connector and enter your NCDC API token from the NOAA website. 2. Ask your AI agent to find a specific station or a dataset category. 3. Get a formatted list of records or a specific summary of climate trends. ## Frequently Asked Questions **Can I use NCDC Climate Data Online to get real-time weather?** No, this Connector is designed for accessing historical weather and climate archives. It won't provide live forecasts or current weather alerts. **Does the NCDC Climate Data Online MCP support rainfall data?** Yes, it can retrieve precipitation records. You can ask your agent to find rainfall totals for specific dates and locations. **How do I get the API token for this?** You can get a free NCDC API token directly from the official NOAA website at ncdc.noaa.gov. Once you have it, just add it to your Connector settings. **Can I filter by specific cities?** Yes, you can. The Connector allows you to browse location categories and specific IDs, including cities, states, and countries, to filter your results. **Is this data good for scientific research?** Yes, it provides access to authoritative climate data from the National Climatic Data Center, which is a standard source for climate modeling and environmental studies. **Can I see hourly summaries?** Yes, the Connector supports various data classes, including hourly, daily, and monthly summaries, depending on the dataset and station. **Is the NCDC API Token free?** Yes! You can request a free API token by providing your email address at https://www.ncdc.noaa.gov/cdo-web/token. **What is the GHCND dataset?** GHCND stands for Global Historical Climatology Network - Daily. It is one of the most popular datasets, providing daily climate summaries (temperature, precipitation, etc.) from stations around the world. **How far back does the data go?** NCDC archives contain data dating back to the 18th century for some locations, though the availability varies significantly by station and dataset.