@vbotholemu/mcp-marine-weather
MCP ServerFreeMCP tool for marine weather forecasts using NOAA api.weather.gov
Capabilities3 decomposed
noaa marine weather forecast retrieval with geospatial grid lookup
Medium confidenceFetches marine weather forecasts from NOAA's api.weather.gov by converting latitude/longitude coordinates into grid points, then retrieving forecast data for those specific marine zones. Uses NOAA's two-step API pattern: first resolving coordinates to grid metadata, then fetching the actual forecast. Integrates directly with NOAA's public REST endpoints without authentication, enabling real-time marine condition data for sailing, fishing, and maritime operations.
Implements NOAA's two-step grid-point resolution pattern as an MCP tool, abstracting the coordinate-to-grid lookup complexity so LLM agents can query marine weather with simple lat/lon inputs without understanding NOAA's grid system. Uses direct NOAA public API integration (no authentication wrapper), keeping the tool lightweight and dependency-minimal.
Simpler than building a custom NOAA client and more direct than generic weather APIs (OpenWeatherMap, WeatherAPI) because it taps NOAA's authoritative marine-specific forecasts without additional abstraction layers or API key management.
mcp tool registration and schema definition for marine weather queries
Medium confidenceExposes the NOAA marine weather capability as a standardized MCP (Model Context Protocol) tool with JSON schema definition, parameter validation, and error handling. Implements the MCP tool interface pattern where the tool declares its input schema (latitude, longitude parameters), description, and execution handler. Enables Claude and other MCP-compatible AI assistants to discover, understand, and invoke marine weather queries as a native tool without custom integration code.
Wraps NOAA marine weather as a first-class MCP tool with declarative schema, allowing Claude to understand and autonomously invoke weather queries as part of multi-step reasoning. Uses MCP's standard tool discovery and invocation pattern, making the tool composable with other MCP tools in a single server.
More seamless than building custom Claude plugins or function-calling integrations because MCP provides standardized tool registration, discovery, and error handling without boilerplate.
coordinate validation and error handling for marine weather queries
Medium confidenceValidates latitude/longitude inputs before querying NOAA, checking for valid decimal degree ranges (-90 to 90 for latitude, -180 to 180 for longitude) and handling edge cases like null/undefined values. Implements error handling for NOAA API failures (network timeouts, invalid grid points, rate limiting) and returns structured error messages to the MCP client. Prevents invalid queries from reaching NOAA and provides diagnostic feedback when weather data cannot be retrieved.
Implements client-side coordinate validation before NOAA API calls, reducing wasted API quota and providing immediate feedback for malformed inputs. Combines decimal degree range checking with NOAA grid-point resolution error handling to catch both obvious and subtle coordinate issues.
More efficient than relying solely on NOAA API error responses because it validates inputs locally before making network calls, reducing latency and API quota consumption for invalid queries.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Sailing and maritime application developers building weather-aware routing
- ✓LLM agents that need to answer marine weather questions with current data
- ✓Teams building MCP servers that expose weather data to Claude or other AI assistants
- ✓Non-technical founders prototyping marine safety or navigation MVPs
- ✓Developers building MCP servers that expose domain-specific tools to Claude
- ✓Teams integrating marine weather into AI agent workflows
- ✓Builders creating specialized assistants for sailing, fishing, or maritime industries
- ✓Developers building robust MCP servers that handle edge cases
Known Limitations
- ⚠NOAA API rate limits apply (typically 1000 requests/hour per IP) — no built-in rate limiting or caching layer
- ⚠Forecast data is grid-based with ~2.5km resolution — not suitable for hyper-local microclimate predictions
- ⚠Only covers US marine zones and coastal areas — international waters not supported
- ⚠Depends on NOAA API availability and uptime — no fallback to alternative weather sources
- ⚠Forecast updates are periodic (typically 6-12 hour intervals) — not real-time sensor data
- ⚠MCP is Claude-specific (Anthropic) — not compatible with OpenAI, Gemini, or other LLM APIs
Requirements
Input / Output
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MCP tool for marine weather forecasts using NOAA api.weather.gov
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