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Weather Java SSE Transport MCP Service

@stantonk

Basic information

Category

Media & Design

License

MIT

Transports

stdio

Author

stantonk

About Weather Java SSE Transport MCP Service

Java Model Context Protocol SSE HTTP Server with Jetty

Weather Java SSE Transport MCP Service config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Weather Java SSE Transport MCP Service tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Weather Java SSE Transport MCP Service?

A demonstration implementation of the Model Context Protocol java-sdk that includes a fast-agent for the MCP Client to interact with a Weather MCP server. It shows how to build an end-to-end system leveraging both local (Stdio Transport) and remote (HTTP SSE Transport) MCP servers while avoiding excessive Spring dependencies. Intended for developers learning about MCP server and client integration.

How to use Weather Java SSE Transport MCP Service?

Build the server with mvn clean package then start with java -jar mcp-server/target/mcp-server-1.0-SNAPSHOT.jar. Install the fast-agent using pip install uv, then uv pip install fast-agent-mcp, and run with uv run agent.py. Configure Claude and OpenAI API keys in fastagent.secrets.yaml. The server is configured in fastagent.config.yaml with transport "sse", a 10‑second read timeout, and URL http://localhost:8080/sse.

Key features of Weather Java SSE Transport MCP Service?

  • Implements Model Context Protocol java‑sdk
  • Includes fast-agent for MCP Client interaction
  • Supports local Stdio and remote HTTP SSE transports
  • Avoids pulling in Spring where possible
  • Agent uses Claude Sonnet 3.7 for LLM decisions
  • Agent autonomously selects tools from user prompts

Use cases of Weather Java SSE Transport MCP Service?

  • Developer testing local MCP server interactions with an agent
  • Agent‑based weather data retrieval using geographic tool chaining
  • Demonstrating hybrid MCP server architecture (Stdio + SSE)
  • Evaluating the MCP java‑sdk implementation end‑to‑end
  • Experimenting with tool selection driven by natural language prompts

Frequently asked questions

1

What runtime dependencies are required?

Java and Maven for the server, Python with `uv` for the fast-agent, and API keys for Claude and OpenAI (configured in `fastagent.secrets.yaml`).

2

What transport protocols are supported?

The server uses HTTP SSE (Server‑Sent Events) transport. The agent configuration can also connect

Comments

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