# MCP-Weather-Agent-with-LangChain

> MCP-Weather-Agent-with-LangChain — ankitpatil3003-mcp-weather-agent-with-langchain. Use this tool when you need to retrieve and interact with weather data through a conversational interface, solving problems such as accessing current weather conditions or forecasts in a user-friendly way. It takes natural language inputs and returns relevant weather information, leveraging the OpenWeatherMap API and LangChain agent. Ideal for applications requiring dynamic weather data integration, such as travel planning or outdoor activity scheduling.

Canonical page: https://skillsregistry.net/skills/ankitpatil3003-mcp-weather-agent-with-langchain  
JSON: https://api.skillsregistry.net/v1/skills/ankitpatil3003-mcp-weather-agent-with-langchain

## Description

An agent-driven weather web application that wraps the OpenWeatherMap REST API behind a Model Context Protocol (MCP) server, uses a LangChain / LangGraph agent with Groq for tool calling, and exposes a Streamlit chat UI.

## Trust

- **Trust score (0–1):** 0.93
- **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/ankitpatil3003/MCP-Weather-Agent-with-LangChain)

## 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": "ankitpatil3003-mcp-weather-agent-with-langchain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ankitpatil3003-mcp-weather-agent-with-langchain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ankitpatil3003-mcp-weather-agent-with-langchain/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
