An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.
Add this skill
npx mdskills install kimtth/mcp-remote-call-ping-pongEducational ping-pong demo with clear FastAPI and SSE examples but limited practical utility
An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI.
To install the dependencies, run:
poetry install
Start the FastAPI server with:
python mcp-api-server.py
The server will start at http://localhost:8080.
Open mcp-api-client.html in a browser to interact with the UI.
GET /ping-pong?prompt_name=: Retrieves the specified prompt.POST /ping-pong: Invokes MCP tool commands (ping, pong, count).The following example demonstrates using Server-Sent Events (SSE) for communication with the MCP server.
python mcp-sse-server.py
python mcp-sse-client.py
Type a command (e.g., 'ping', 'pong', 'count') or 'exit' to quit:
>>> ping
Sending command: ping
Result: pong
>>> pong
Sending command: pong
Result: ping
>>> count
Sending command: count
Result: 2
MIT
Install via CLI
npx mdskills install kimtth/mcp-remote-call-ping-pongMCP Ping-Pong Server by Remote Call is a free, open-source AI agent skill. An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.
Install MCP Ping-Pong Server by Remote Call with a single command:
npx mdskills install kimtth/mcp-remote-call-ping-pongThis downloads the skill files into your project and your AI agent picks them up automatically.
MCP Ping-Pong Server by Remote Call works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.