SSE-based MCP Server and Client Pattern

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This repository provides a working pattern for creating SSE-based MCP servers and clients, facilitating decoupled and scalable interactions suitable for cloud-native architectures, with tools for weather data.
Added on:
Created by:
Mar 06 2025
SSE-based MCP Server and Client Pattern

SSE-based MCP Server and Client Pattern

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SSE-based MCP Server and Client Pattern
This repository provides a working pattern for creating SSE-based MCP servers and clients, facilitating decoupled and scalable interactions suitable for cloud-native architectures, with tools for weather data.
Added on:
Created by:
Mar 06 2025
Sidharth Rajaram
Featured

What is SSE-based MCP Server and Client Pattern?

This project demonstrates how to set up a server and client for the Model Context Protocol (MCP) using Server-Sent Events (SSE). The server provides tools like weather forecasting, while clients can connect and query these tools seamlessly. It supports decoupled, cloud-native architectures, enabling agents to connect, use, and disconnect at will. The implementation includes example scripts, such as weather.py as the server and client.py as the client, showcasing real-time data exchange and tool utilization within a secure, scalable environment. The pattern promotes decoupling of processes, making it suitable for modern distributed systems and edge computing scenarios.

Who will use SSE-based MCP Server and Client Pattern?

  • Developers building cloud-native applications
  • AI and ML researchers integrating real-time data streams
  • Organizations deploying scalable server-client architectures
  • Weather data providers and meteorological services
  • Anyone implementing MCP-based communication protocols

How to use the SSE-based MCP Server and Client Pattern?

  • Step 1: Clone the repository from GitHub.
  • Step 2: Install dependencies and set environment variables, including API keys.
  • Step 3: Run the weather.py server with `uv run weather.py --host --port `.
  • Step 4: Start the client.py application with `uv run client.py `.
  • Step 5: Use the client interface to query available tools and fetch real-time data.
  • Step 6: Disconnect or quit as needed, allowing for flexible interactions.

SSE-based MCP Server and Client Pattern's Core Features & Benefits

The Core Features
  • Weather forecast retrieval
  • SSE-based server-client communication
  • Tool discovery and invocation
  • Configurable host and port
The Benefits
  • Decoupled, scalable architecture
  • Real-time data streaming
  • Flexible cloud-native deployment
  • Easy integration with existing cloud services

SSE-based MCP Server and Client Pattern's Main Use Cases & Applications

  • Real-time weather forecasting for weather apps
  • Distributed agents querying weather data
  • IoT devices interacting via SSE with centralized servers
  • Cloud-native applications requiring scalable data pipelines

FAQs of SSE-based MCP Server and Client Pattern

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