What prerequisites are needed for MCP Weather Server Setup Guide?
You need a Claude.ai account, the Claude Desktop App (available for macOS and Windows), a code editor, and uv installed.
@debanshu005
Basic information
MCP server to get wearer forecast.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This is a setup guide for creating and running a weather server using the MCP SDK and uv, a Rust-based Python package manager. It provides a get_current_weather tool that accepts latitude and longitude and returns JSON weather data via the Model Context Protocol. It is intended for developers setting up an MCP-compatible weather service for use with Claude Desktop.
Create a project folder, initialize a uv project, set up a virtual environment, and install the required packages (mcp[cli] and httpx). Run the server in development mode with mcp dev server.py, then open http://localhost:5173 in a browser. In the MCP Inspector, click Connect, go to the Tools tab, click List Tools, select get_current_weather, and enter latitude and longitude to retrieve weather data.
You need a Claude.ai account, the Claude Desktop App (available for macOS and Windows), a code editor, and uv installed.
On macOS use `brew install uv`; on Windows use `winget install --id=astral-sh.uv -e`.
Install mcp[cli] and httpx using `uv add "mcp[cli]" httpx`.
Open http://localhost:5173 in a browser, click Connect in the MCP Inspector, go to the Tools tab, click List Tools, select get_current_weather, and enter a latitude and longitude to see the JSON weather result.
It is a helpful tool for interacting with and debugging MCP tools during development, available via the web interface at localhost:5173.

Run LinkedIn and email outreach from Claude, safely. Made for lead gen agencies, founders and medium-large companies. Every account gets enforced daily limits, its own proxy, and a review queue before anything sends.

Built by movie lovers, for movie lovers and their assistants. SceneF puts every screen in California and Hawaii on one board — 33 regions, from San Francisco's single-screen neighborhood houses and nightly repertory cale

Lets Claude, ChatGPT and other MCP clients build and run AI video pipelines on Treza, from script and generated shots to narration, captions and posting to YouTube or TikTok.

AI video clipping MCP server for scored, captioned vertical shorts, with 29 documented tools and dubbing in 19 languages. Hosted OAuth connection with a local installation option.
Access 20+ AI video and image models from Google, OpenAI, xAI, ByteDance, and more. Generate and edit videos with Veo 3.1, Sora 2, Seedance, Kling O3, and images with FLUX, Nano Banana, Seedram 4, GPT Image — all in one
Comments