WeatherMCP

Created By
shujink0a year ago
A Model Context Protocol (MCP) server for Weather API implemented in Go, leveraging mcp-go. Based on the tutorial
Overview

What is WeatherMCP?

WeatherMCP is a Model Context Protocol (MCP) server designed for Weather API, implemented in Go, and leveraging the mcp-go library. It serves as a backend service to facilitate weather data retrieval and processing.

How to use WeatherMCP?

To use WeatherMCP, you can build the project using Go, and then run it with different transport options such as standard input/output or server-sent events (SSE). Configuration for the Claude Desktop can also be set up to connect to the MCP server.

Key features of WeatherMCP?

  • Implements a Model Context Protocol server for weather data.
  • Supports multiple transport methods (stdio and SSE).
  • Easy integration with Claude Desktop for enhanced functionality.

Use cases of WeatherMCP?

  1. Providing real-time weather data to applications.
  2. Integrating with AI models for weather predictions.
  3. Serving as a backend for weather-related services and applications.

FAQ from WeatherMCP?

  • What programming language is WeatherMCP written in?

WeatherMCP is implemented in Go.

  • How can I run WeatherMCP?

You can build it using go build and run it with ./WeatherMCP for default transport or ./WeatherMCP -t sse for SSE transport.

  • Is there a configuration needed for Claude Desktop?

Yes, you need to edit the claude_desktop_config.json file to connect to the MCP server.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
shujink0
Star
1
Language
Go
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

10 hours ago
Puter Mcp

2 days ago
Linkpulse

13 hours ago