NOAA Climate Data

Historical climate data, temperatures, precipitation, and normals

Community: Submitted by a user or imported; check the owner before granting accessDegradedNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Historical climate data, temperatures, precipitation, and normals

    How to connect

    How to connect NOAA Climate Data to Claude

    The server address to paste into Claude settings:

    https://mcp.olyport.com/noaa-climate/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect NOAA Climate Data to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.olyport.com/noaa-climate/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect NOAA Climate Data to Cursor

    The server address to paste into Cursor settings:

    https://mcp.olyport.com/noaa-climate/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (3)

    Raw names from tools/list. Only developers need these.

    get_climate_dataGet climate observations from NOAA Climate Data Online. Returns historical weather measurements such as temperature, precipitation, and snowfall. You must provide either a station_id or a FIPS code to identify the location, and a date range. Args: station_id: NOAA station identifier (e.g. 'GHCND:USW00094728' for Central Park). fips: FIPS code for county or state (e.g. '36' for New York state, '36061' for Manhattan). dataset: Dataset ID. Common values: 'GHCND' (daily summaries), 'GSOM' (monthly), 'GSOY' (annual), 'NORMAL_DLY' (daily normals). Default is 'GHCND'. start_date: Start date in YYYY-MM-DD format. Required for most datasets. end_date: End date in YYYY-MM-DD format. Required for most datasets. data_types: Comma-separated data type IDs to filter. Common types: TMAX (max temp), TMIN (min temp), TAVG (avg temp), PRCP (precipitation), SNOW (snowfall), SNWD (snow depth), AWND (avg wind speed). If omitted, all available types are returned. limit: Maximum number of records to return (default 100, max 1000).
    find_stationsFind NOAA weather stations in an area. Returns a list of weather stations with their IDs, names, coordinates, and active date ranges. Use the station IDs with get_climate_data. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'NY'). county_fips: Five-digit county FIPS code (e.g. '36061' for Manhattan). dataset: Dataset ID to filter stations that have data in this dataset. Default is 'GHCND' (daily summaries). limit: Maximum number of stations to return (default 25, max 1000).
    get_climate_normalsGet 30-year climate normal values for a NOAA weather station. Climate normals are averages computed over the most recent 30-year period (currently 1991-2020). They represent typical conditions for a location and are useful for comparing current conditions to historical baselines. Args: station_id: NOAA station identifier (e.g. 'GHCND:USW00094728'). Use find_stations to look up station IDs. data_types: Comma-separated normal data type IDs to filter. Common types: DLY-TMAX-NORMAL (avg daily max temp), DLY-TMIN-NORMAL (avg daily min temp), DLY-TAVG-NORMAL (avg daily temp), DLY-PRCP-PCTALL-GE001HI (precip probability), MTD-PRCP-NORMAL (monthly precip), ANN-TMAX-NORMAL (annual max temp). If omitted, all available normals are returned.