# MCP Weather Server

> Use this tool when you need to access and utilize weather data, as it provides a simple server demonstrating various tools and resources for retrieving and processing weather information. It solves problems related to weather data integration and analysis, offering a range of prompts and interfaces for custom applications. Ideal for use cases requiring real-time or historical weather data, such as forecasting, climate research, or location-based services.

Canonical page: https://skillsregistry.net/skills/vishal-mk-agentic-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vishal-mk-agentic-ai-mcp-server

## Description

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s1fsmno4cf)
- **Repository:** <https://github.com/VISHAL-MK/agentic-AI-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": "vishal-mk-agentic-ai-mcp-server"
    }
  }
}
```

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

---
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