What commands does the server support?
The MCP server supports three commands: `ping`, `pong`, and `count`. The sample output shows `ping` returns `pong`, `pong` returns `ping`, and `count` returns the current count (e.g., `2`).
@kimtth
基本情報
🏓 An experimental and educational script for Ping-pong server demonstrating remote MCP (Model Context Protocol) calls
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-fastapi-ping-pong": {
"command": "python",
"args": [
"mcp-api-server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
An experimental and educational Ping-Pong server that demonstrates MCP (Model Context Protocol) calls through a FastAPI/FastMCP backend. It provides a simple command‑handling system (ping, pong, count) accessible via API endpoints or Server‑Sent Events (SSE), making it a learning tool for understanding remote MCP integrations.
Install dependencies with poetry install. Run python mcp-api-server.py to start the FastAPI server on http://localhost:8080 and open mcp-api-client.html in a browser for the UI, or use the API directly. For SSE transport, run python mcp-sse-server.py and then python mcp-sse-client.py to interact via the command line with commands like ping, pong, and count.
The MCP server supports three commands: `ping`, `pong`, and `count`. The sample output shows `ping` returns `pong`, `pong` returns `ping`, and `count` returns the current count (e.g., `2`).
Install dependencies with `poetry install`. For the API server, run `python mcp-api-server.py`. For SSE, run `python mcp-sse-server.py`. The client for SSE is started with `python mcp-sse-client.py`.
Yes, the repository includes `mcp-api-client.html` which you can open in a browser to interact with the API server via a simple UI.
Two transport methods are demonstrated: HTTP API (GET/POST endpoints at `http://localhost:8080`) and Server-Sent Events (SSE) using separate server and client scripts.
All Python dependencies are managed via Poetry. The key libraries include FastAPI and FastMCP (for the backend), along with other runtime dependencies listed in the `pyproject.toml` file.

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