Confidential guide on numerology and astrology, based of GG33 Public information

MCP-SSE
Un patrón de trabajo para los clientes y servidores de MCP basados en SSE
3 years
Works with Finder
3
Github Watches
26
Github Forks
180
Github Stars
SSE-based Server and Client for MCP
This demonstrates a working pattern for SSE-based MCP servers and standalone MCP clients that use tools from them. Based on an original discussion here.
Usage
Note: Make sure to supply ANTHROPIC_API_KEY
in .env
or as an environment variable.
uv run weather.py
uv run client.py http://0.0.0.0:8080/sse
Initialized SSE client...
Listing tools...
Connected to server with tools: ['get_alerts', 'get_forecast']
MCP Client Started!
Type your queries or 'quit' to exit.
Query: whats the weather like in Spokane?
I can help you check the weather forecast for Spokane, Washington. I'll use the get_forecast function, but I'll need to use Spokane's latitude and longitude coordinates.
Spokane, WA is located at approximately 47.6587° N, 117.4260° W.
[Calling tool get_forecast with args {'latitude': 47.6587, 'longitude': -117.426}]
Based on the current forecast for Spokane:
Right now it's sunny and cold with a temperature of 37°F and ...
Why?
This means the MCP server can now be some running process that agents (clients) connect to, use, and disconnect from whenever and wherever they want. In other words, an SSE-based server and clients can be decoupled processes (potentially even, on decoupled nodes). This is different and better fits "cloud-native" use-cases compared to the STDIO-based pattern where the client itself spawns the server as a subprocess.
Installing via Smithery
To install SSE-based Server and Client for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @sidharthrajaram/mcp-sse --client claude
Server
weather.py
is a SSE-based MCP server that presents some tools based on the National Weather Service APIs. Adapted from the MCP docs' example STDIO server implementation.
By default, server runs on 0.0.0.0:8080, but is configurable with command line arguments like:
uv run weather.py --host <your host> --port <your port>
Client
client.py
is a MCP Client that connects to and uses tools from the SSE-based MCP server. Adapted from the MCP docs' example STDIO client implementation.
By default, client connects to SSE endpoint provided in the command line argument like:
uv run client.py http://0.0.0.0:8080/sse
相关推荐
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.
Take an adjectivised noun, and create images making it progressively more adjective!
Delivers concise Python code and interprets non-English comments
Servidor MCP para obtener contenido de la página web con el navegador sin cabeza de dramaturgo.
Un poderoso complemento Neovim para administrar servidores MCP (protocolo de contexto del modelo)
🔥 1Panel proporciona una interfaz web intuitiva y un servidor MCP para administrar sitios web, archivos, contenedores, bases de datos y LLM en un servidor de Linux.
Puente entre los servidores Ollama y MCP, lo que permite a LLM locales utilizar herramientas de protocolo de contexto del modelo
La aplicación AI de escritorio todo en uno y Docker con trapo incorporado, agentes de IA, creador de agentes sin código, compatibilidad de MCP y más.
Servidores MCP impresionantes: una lista curada de servidores de protocolo de contexto del modelo
Servidores AWS MCP: servidores MCP especializados que traen las mejores prácticas de AWS directamente a su flujo de trabajo de desarrollo
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_CER7gZKV
As a dedicated user of mcp-sse, I must say it’s a fantastic tool for simplifying server-sent event (SSE) setups! Created by sidharthrajaram, this GitHub-hosted project provides a seamless experience with clear instructions and efficient implementation. It's a time-saver for developers working with real-time applications. Highly recommended!