Vinkius

NCDC Climate Data Online MCP. Access decades of historical weather metrics.

NCDC Climate Data Online lets you pull massive amounts of authoritative historical weather and climate data directly from NOAA's National Climatic Data Center. You can ask your agent for records—like daily temperature or precipitation totals—for specific locations across defined date ranges, no matter how complex the query gets. This MCP gives you access to discovery tools that let you list available datasets, find exact stations globally, and categorize data types like snowfall versus max temperature, all in one place.

NCDC Climate Data Online MCP is compatible with Claude Claude
NCDC Climate Data Online MCP is compatible with ChatGPT ChatGPT
NCDC Climate Data Online MCP is compatible with Cursor Cursor
NCDC Climate Data Online MCP is compatible with Gemini Gemini
NCDC Climate Data Online MCP is compatible with Windsurf Windsurf
NCDC Climate Data Online MCP is compatible with VS Code VS Code
NCDC Climate Data Online MCP is compatible with JetBrains JetBrains
NCDC Climate Data Online MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Retrieve specific historical records

Pull actual climate measurements—like temperature or rainfall totals—for a defined location and date range.

Discover available datasets

List and inspect the full catalog of climatic data sets, including global summaries and daily records.

Identify weather stations globally

Locate specific monitoring stations worldwide and retrieve their full metadata details.

Filter by location type

Browse pre-defined categories—like Country, State, or City—to scope down your data queries efficiently.

Define data metrics and timeframes

List what kinds of data are available (e.g., Max Temperature, Snowfall) and how granular you need the results to be (hourly, monthly).

Waiting for input…

AI Agent
NCDC Climate Data Online

What AI agents can do with NCDC Climate Data Online: 10 Tools

These ten tools allow you to discover, locate, and retrieve specific historical weather and climate records from the National Climatic Data Center.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using NCDC Climate Data Online MCP

Get Climate Data

Pulls actual historical climate measurements like temperature or precipitation totals.

Get Dataset

Fetches detailed information about a specific climate dataset available from NCDC.

Get Station

Retrieves complete metadata and coverage details for a single weather monitoring...

List Data Categories

Lists all major types of data available, such as temperature and precipitation.

List Data Classes

Shows the time granularity options for data, like hourly or monthly summaries.

List Data Types

Lists specific metrics you can track, such as Max Temperature or Snowfall depth.

List Datasets

Retrieves a list of all available NCDC climate datasets (e.g., GHCND, GSOD).

List Location Categories

Shows the types of geographic boundaries you can query, like City or Country.

List Locations

Provides a list and ID for specific physical locations (e.g., New York City).

List Stations

Lists all active weather stations within a defined geographical area.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

NCDC Climate Data Online MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The NCDC Climate Data Online integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with NCDC Climate Data Online, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
NCDC Climate Data Online MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NCDC Climate Data Online. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Sifting Through Climate Data is a Time Sink

Right now, pulling historical climate data means jumping through hoops. You're on NOAA's main site, you find the right API documentation, you manually check what datasets exist (GHCND? GSOD?), and then you write complex queries just to get a list of valid station IDs or location codes. It’s tedious copy-pasting across three different tabs.

With this MCP, your agent handles all that bureaucratic friction. You simply ask for the data—'Give me the average rainfall for Miami in 2015.' The system uses list_stations, checks dataset availability with get_dataset, and pulls the final record using get_climate_data. It’s immediate.

NCDC Climate Data Online Gives You Structured Records

You no longer have to manually check if a dataset is appropriate for your time frame or location type. The MCP automatically handles this validation by letting you list available data classes (hourly, daily, monthly) and confirming which location IDs are active.

The result is clean, structured data ready for analysis. You get the metrics, not a mountain of documentation. Period.

What NCDC Climate Data Online MCP does for your AI

You can use this connection to pull deep historical climate records using natural language conversation. Instead of navigating complex government websites, your agent talks directly to the National Climatic Data Center API, giving you access to a vast archive of weather history.

Need to know how much rain fell in Asheville back in 2018? You ask for it. Want to compare average maximum temperatures across three different states over twenty years? Your agent handles the data gathering and retrieval. The MCP lets you look up specific stations globally, trace datasets like Global Historical Climatology Network Daily (GHCND), or filter by location type—city, country, county—to narrow down your scope.

If you're finding yourself jumping between multiple APIs just to get a full picture of environmental trends, this MCP simplifies that. Vinkius organizes these complex data sources so you connect once and gain access to the entire NCDC catalog from any compatible client.

Built · Hosted · Managed by Vinkius NCDC Climate Data - Historical Weather Records MCP
Server ID 019d75db-8396-7376-ba60-adc8462a0d6a
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about NCDC Climate Data Online MCP

How do I find out what kinds of data I can analyze with NCDC Climate Data Online MCP? +

You start by running list_data_categories to see the main groups, and then use list_data_types to get specific metrics like 'Snowfall' or 'Max Temperature'.

Do I need a location ID before using NCDC Climate Data Online MCP? +

Yes. Use list_location_categories first, and then use list_locations to retrieve the exact required ID for your query.

What is the best way to find nearby weather stations? +

First, you run list_stations to get a general list, or if you know an area, you can use list_locations and then ask your agent to pull all associated station details using get_station.

Can I compare different climate datasets? +

Yes. You first run list_datasets to identify the specific dataset names (like GHCND) you need, and then use get_climate_data to pull comparable records from each one.

How does NCDC Climate Data Online MCP handle date ranges? +

The agent manages the temporal flexibility. You specify the start and end dates in your query, and it handles fetching data across various time classes (hourly, daily, monthly).