# mcp_server

> mcp_server — adigo22-mcp-server. Use this tool when you need to handle and process US Weather data for location-based weather forecasting and alerts. It solves problems related to data validation and management of weather forecasts and alerts, providing a robust interface for inputs and outputs. Ideal for use cases requiring reliable and validated weather data, with capabilities for development and production environments using TypeScript and JavaScript.

Canonical page: https://skillsregistry.net/skills/adigo22-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/adigo22-mcp-server

## Description

MCP Server using TypeScript and JavaScript made with official MCP docs handling US Weather data having context for two tools - showing weather forecast and weather alerts for US based location. Used Zod for data validation and architectured two folders - src and build , development (ts) and production (js) respectively.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AdiGo22/mcp_server)

## 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": "adigo22-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adigo22-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adigo22-mcp-server/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