MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Serverwhat's the weather forecast for New York City tomorrow?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Features
Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol
Weather Server
Weather Alerts: Fetch active weather alerts for a specific US state.
Weather Forecast: Retrieve detailed weather forecasts for a given location.
Freshdesk Integration: Create support tickets in Freshdesk.
Finance Module
Intraday Market Data: Fetch intraday stock market data using the AlphaVantage API.
Technical Analysis:
Calculate moving averages (short and long periods).
Compute Relative Strength Index (RSI).
Trade Recommendations: Generate comprehensive trade recommendations based on technical indicators.
Related MCP server: MCP Crypto API Servers
Installation
Clone the repository:
git clone https://github.com/your-username/mcp-weather-server.git cd mcp-weather-serverSet up a Python virtual environment:
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activateInstall dependencies:
pip install -r requirements.txtNavigate to the
financemodule and install its dependencies:cd finance pip install -r requirements.txt
Running the Project
Weather Server
Run the weather server:
python main.pyFinance Server
Run the finance server:
cd finance
python finance_server.pyWeather Demo
Run the weather demo server:
python weather-demo.pyThis server cannot be deployed
Maintenance
Related MCP Connectors
Real-time planetary signal engine and Model Context Protocol (MCP) server for autonomous AI agents.
Hosted MCP server for Xweather weather data: conditions, forecasts, alerts, and more.
- UnifAPIOAuthcom.unifapi
Hosted MCP server for live public-data APIs and Skills for AI agents.
A Model Context Protocol server exposing real-time and historical Colombo Stock Exchange (CSE) data to AI agents and LLM applications. Provides quotes and OHLCV price history, full financial statements (income, balance sheet, cash flow), pre-computed technicals (moving averages, RS ratings, volume signals), macroeconomic indicators, corporate actions, and rule-based screening across CSE stocks and sector indices, everything needed to build CSE-aware trading assistants, research tools, and market-analysis agents. This is the official MCP server of www.ceyloncharts.com
Related MCP Servers
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides tools to fetch weather alerts for US states and forecasts based on latitude/longitude coordinates using the US National Weather Service API.295 npm1MIT
- FlicenseNot gradedqualityDmaintenanceA collection of Model Context Protocol servers for cryptocurrency APIs (CoinGecko, DeFiLlama, DexScreener, Indodax, Moralis Solana) enabling AI to interact with real-time crypto market data.-
- FlicenseNot gradedqualityNot gradedmaintenanceA basic Model Context Protocol server implementation that demonstrates core MCP functionality including tools and resources. Provides weather alerts through the Weather API and serves as a learning example for MCP development.-
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides tools for weather forecasting and Gmail interaction.3 npm-