广告合作
MCP.so
登录

SSE-based Server and Client for MCP Server

@goyatparmod

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

goyatparmod

关于 SSE-based Server and Client for MCP Server

sse base remote mcp server and client

SSE-based Server and Client for MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "sse-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@sidharthrajaram/mcp-sse",
        "--client",
        "claude"
      ]
    }
  }
}

SSE-based Server and Client for MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is SSE-based Server and Client for?

It demonstrates a Server-Sent Events (SSE) based MCP server and a standalone MCP client that uses tools from the server. This pattern enables decoupled, cloud‑native communication between MCP servers and clients, as opposed to the STDIO pattern where the client spawns the server as a subprocess. It is for developers building remote MCP agent systems.

How to use SSE-based Server and Client for?

Set the ANTHROPIC_API_KEY environment variable. Run the server with uv run weather.py (optionally with --host and --port flags) then run the client with uv run client.py http://<server>:<port>/sse. The client connects to the SSE endpoint and lists available tools. You can also install via Smithery for Claude Desktop using npx -y @smithery/cli install @sidharthrajaram/mcp-sse --client claude.

Key features of SSE-based Server and Client for

  • Demo SSE‑based MCP server with weather tools

评论

其他 分类下的更多 MCP 服务器

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

广告合作