What specific types of real-time ocean data can I access through Ocean MCP?

You can access real-time NOAA CO-OPS data (tides, water levels, coastal meteorology), universal ERDDAP data from over 80 public servers, and NHC data for tropical cyclone tracking and advisories.

What is Ocean MCP and what problem does it solve?

Ocean MCP is a monorepo of specialized Model Context Protocol (MCP) servers that provide AI assistants with real-time access to ocean science and coastal oceanography data, simplifying complex data retrieval for LLMs through natural language queries.

Are the data servers independently deployable?

Yes, each specialized MCP server within the monorepo (e.g., coops-mcp, erddap-mcp, nhc-mcp) is independently installable and configurable, allowing users to deploy only the specific data sources they need.

How does Ocean MCP integrate with AI assistants or LLMs?

It's specifically designed for AI assistants, enabling them to process natural language queries for ocean data. Responses are provided in dual markdown/JSON formats, making data interaction intuitive and programmatically accessible.

Ocean

Name: Ocean
Author: mansurjisan

Provides AI assistants with real-time ocean science and coastal oceanography data through a collection of specialized Model Context Protocol servers.

About

This tool is a monorepo of Model Context Protocol (MCP) servers engineered to give AI assistants seamless access to critical ocean science data. It features independently installable servers, each tailored to specific data sources such as NOAA CO-OPS for tides, water levels, currents, and meteorological data; ERDDAP for universal access across over 80 public oceanographic data servers; and NHC for tropical cyclone tracks, advisories, and historical storm data. Designed for natural language queries, Ocean enables AI applications to retrieve and process diverse real-time and historical ocean data, supporting advanced analytical and informational tasks in coastal oceanography.

Key Features

Integrates NOAA CO-OPS data for real-time tides, water levels, and coastal meteorology
Offers universal ERDDAP data access across more than 80 public servers
Includes NHC data for tropical cyclone tracking, advisories, and best track information
Designed for AI assistants, supporting natural language queries and dual markdown/JSON output
Monorepo of independently installable, specialized MCP servers for ocean data
0 GitHub stars

Use Cases

Querying current water levels and tide station information from NOAA CO-OPS for coastal monitoring
Searching for and retrieving oceanographic datasets like sea surface temperature or chlorophyll from various ERDDAP servers
Accessing historical and real-time tropical cyclone tracks, advisories, and forecast data from the NHC

About

Key Features

Integrates NOAA CO-OPS data for real-time tides, water levels, and coastal meteorology
Offers universal ERDDAP data access across more than 80 public servers
Includes NHC data for tropical cyclone tracking, advisories, and best track information
Designed for AI assistants, supporting natural language queries and dual markdown/JSON output
Monorepo of independently installable, specialized MCP servers for ocean data
0 GitHub stars

Use Cases

Querying current water levels and tide station information from NOAA CO-OPS for coastal monitoring
Searching for and retrieving oceanographic datasets like sea surface temperature or chlorophyll from various ERDDAP servers
Accessing historical and real-time tropical cyclone tracks, advisories, and forecast data from the NHC