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SSE-based Server and Client for

SSE-based Server and Client for

github.com/sidharthrajaramFrameworks & SDKs301Updated 86w ago

About SSE-based Server and Client for

A reference implementation of SSE-based MCP servers and clients demonstrating cloud-native decoupled architecture. Agents can connect to and use tools from running server processes without embedding them as subprocesses.

Key features

  1. 01SSE-based MCP server implementation
  2. 02Standalone MCP client process
  3. 03Weather tools integration
  4. 04Decoupled client-server architecture

Use cases

  1. 01Building cloud-native MCP services
  2. 02Dynamic client-server connections
  3. 03Agents accessing remote tools on-demand
  4. 04Cross-process agent coordination

MCP support

This project implements MCP servers and clients using SSE protocol, enabling servers to run as independent processes while clients connect via SSE endpoints to access tools.

Details

From the project README

SSE-based Server and Client for MCP

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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

Comments

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