# LocalTides MCP Server

> LocalTides MCP Server — ryancardin15-noaa-tidesandcurrents-mcp. Use this tool when you need to access and interact with NOAA's Tides and Currents API for water level data, tide predictions, and astronomical information. It solves problems related to marine planning, research, and decision-making by providing easy access to reliable ocean data. The server takes in location-based queries and outputs relevant data, such as tide predictions, currents, and moon phases, making it ideal for applications in coastal management, navigation, and environmental monitoring.

Canonical page: https://skillsregistry.net/skills/ryancardin15-noaa-tidesandcurrents-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ryancardin15-noaa-tidesandcurrents-mcp

## Description

This server provides tools for interacting with the NOAA Tides and Currents API, enabling access to water level data, tide predictions, currents data, station information, and astronomical information like moon phases and sun times.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xv9thnwdng)
- **Repository:** <https://github.com/RyanCardin15/Perigee-Tides>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ryancardin15-noaa-tidesandcurrents-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryancardin15-noaa-tidesandcurrents-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryancardin15-noaa-tidesandcurrents-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt