Vinkius

NCDC Climate Data Online MCP. Query Decades of Historical Weather Records

NCDC Climate Data Online connects your AI agent directly to the National Climatic Data Center's massive archive of historical weather records. You can pull precise temperature and precipitation data, find specific global weather stations, or map out entire regions using natural conversation. Stop navigating complex government APIs; just ask for the climate history you need.

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 historical weather records

Get actual daily or monthly temperature and precipitation measurements for a specific location and date range.

Find and inspect data sets

List available climate datasets, like GHCND or GSOD, to understand what historical records exist globally.

Locate weather stations by geography

Search for specific physical monitoring sites worldwide, retrieving their full metadata and coverage details.

Filter data by location type

Browse structured location categories (like State or Country) to narrow down your geographical search boundaries.

Determine available measurement types

List specific scientific variables, such as Max Temperature or Snowfall, that the system tracks for a region.

Waiting for input…

AI Agent
NCDC Climate Data Online

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

These tools allow your agent to list, find, and retrieve specific climate datasets, station metadata, and historical weather records from the NCDC archive.

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 climate data records based on specified location, date range, and metric.

Get Dataset

Retrieves detailed information about a specific climate dataset by its identifier.

Get Station

Fetches comprehensive metadata, coverage area, and details for one particular...

List Data Categories

Lists the high-level scientific categories of data available in the system (e.g....

List Data Classes

Shows the frequency classes for available data, such as Hourly, Daily, or Monthly...

List Data Types

Lists specific measurable variables within a category, like Max Temperature or Snowfall.

List Datasets

Provides a list of major NCDC climate datasets available for querying (e.g., GHCND).

List Location Categories

Shows the hierarchy of geographical locations, like Country or State.

List Locations

Lists specific physical locations that can be used to filter data queries.

List Stations

Provides a list of all weather monitoring stations and their unique IDs across the...

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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No stored credentials

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Gathering Historical Climate Data Used to Be a Nightmare

If you've ever needed weather data from ten years ago, you know the drill. You have to navigate NOAA websites, figure out which specific dataset ID corresponds to what you want, and then manually piece together station IDs for every city on your list. It involves downloading multiple CSVs, renaming columns, and cross-referencing dates just to get a basic trend line.

With this MCP, the process collapses into a single conversation with your agent. You describe the problem—'I need temperature data for three counties in 2015.' Your agent handles listing the necessary stations (`list_stations`), confirming the correct variables (`list_data_types`), and executing `get_climate_data` across all of them, giving you a clean output ready for analysis.

Get Climate Data with NCDC Climate Data Online

You no longer need to jump between five different government portals just to find one data point. The MCP automatically handles the complexity of location intelligence, ensuring that when you ask for a county, it uses the correct internal identifiers.

What's different now is speed and reliability. You get immediate access to structured, authoritative climate history—all through your AI client.

What NCDC Climate Data Online MCP does for your AI

Need to analyze how a certain location handled extreme heat back in 1985? This MCP lets your agent do that by talking directly to decades of authoritative NOAA data. Instead of manually searching through multiple databases and figuring out which station ID means what, you just tell the system what you need—a specific dataset for a date range or all stations within a county.

The connector handles the complex querying, letting you focus on the science. When you connect this MCP via Vinkius, your agent gets instant access to over 4,000 other tools and can start building real-world climate models immediately.

Built · Hosted · Managed by Vinkius NCDC Climate Data Online - Historical Weather Records MCP
Server ID 019d75db-9c09-7247-8e2e-693f0f47ff3a
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 kind of weather data NCDC Climate Data Online can handle? +

You use the list_data_types tool. This function gives you a list of all specific variables tracked by the system, such as Max Temperature or Snowfall, so you know exactly what to ask for.

What is the difference between GHCND and GSOD in NCDC Climate Data Online? +

You can find out using list_datasets. These datasets are distinct archives; GHCND generally provides more detailed station coverage, while GSOD offers a different global summary format.

Can I get climate data for multiple stations at once with NCDC Climate Data Online? +

Yes. First, use list_stations to find the IDs of all needed sites. Then, pass those IDs and your date range into a single query using get_climate_data.

What is required to use NCDC Climate Data Online MCP? +

You must subscribe to the MCP and provide your personal NCDC (NOAA) API Token. This token grants your agent authenticated access to the official records.

How do I check what location types are available for data filtering? +

Run the list_location_categories tool. This will show you if the system supports filtering by Country, State, County, or City, guiding your subsequent queries.