Archestra Logo
Archestra.AI
Back to Catalog

mcp-remote-call-ping-pong

kimtth/mcp-remote-call-ping-pong
🔗 Latest commit:b014428
🕒 Updated:Sep 9, 2025, 01:06 PM
HTML
Development

🏓 An experimental and educational script for Ping-pong server demonstrating remote MCP (Model Context Protocol) calls

MCP Trust Score
Based on our comprehensive evaluation criteria
🤖 Evaluated by gemini-2.5-flashFix
Trust Score45/100
GitHub Metrics
Repository statistics and activity
⭐ GitHub Stars:1
👥 Contributors:1
📋 Total Issues:0
📦 Has Releases:No
🔧 Has CI/CD Pipeline:No
Configuration
Configuration example extracted from README.md for Claude Desktop and other clients.
🤖 Evaluated by gemini-2.5-flashFix
{
  "mcp-api-server": {
    "command": "python",
    "args": [
      "mcp-api-server.py"
    ],
    "env": {}
  },
  "mcp-sse-server": {
    "command": "python",
    "args": [
      "mcp-sse-server.py"
    ],
    "env": {}
  }
}
MCP Protocol Support
Implemented MCP protocol features
🤖 Evaluated by gemini-2.5-flashFix
Tools:✓
Prompts:✓
Resources:✗
Sampling:✗
Roots:✗
Logging:✗
STDIO Transport:✗
HTTP Transport:✓
OAuth2 Auth:✗
Dependencies
2 dependencies
Libraries and frameworks used by this MCP server
🤖 Evaluated by gemini-2.5-flashFix
Resources
GitHub Repository
Add Quality Badge
Show your MCP trust score in your README
Trust Score Badge
[![Trust Score](https://archestra.ai/mcp-catalog/api/badge/quality/kimtth/mcp-remote-call-ping-pong)](https://archestra.ai/mcp-catalog/kimtth__mcp-remote-call-ping-pong)
Edit This ServerAdd New MCP ServerReport an Issue
README.md

🏓 MCP Ping-Pong Server by Remote Call

An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI.

Features

  • ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE
  • 🔄 MCP integration for command handling
  • 🔐 Thread-safe session management

Quick Start

Installation

To install the dependencies, run:

poetry install

1. Call MCP Tool through API

Run the Server

Start the FastAPI server with:

python mcp-api-server.py

The server will start at http://localhost:8080.

UI

Open mcp-api-client.html in a browser to interact with the UI.

ui

API Endpoints

  • GET /ping-pong?prompt_name=<prompt_name>: Retrieves the specified prompt.
  • POST /ping-pong: Invokes MCP tool commands (ping, pong, count).

2. Call MCP Tool through SSE transport

The following example demonstrates using Server-Sent Events (SSE) for communication with the MCP server.

Run the SSE Server

python mcp-sse-server.py

Run the SSE Client

python mcp-sse-client.py

Sample Output

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

References

📄 License

MIT

Related MCP Servers

Agent-MCP

89/100

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.

serena

85/100

A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)

JFrog MCP Server

85/100

Official JFrog MCP server that enables AI assistants to interact with the JFrog Platform. Supports repository management, build tracking, runtime monitoring, artifact searching, package intelligence, and Xray security scanning.

context7

82/100

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

gk-cli

81/100

GitKraken CLI Releases and Documentation

Excalidraw

80/100

Remote MCP server for Excalidraw - streams hand-drawn diagrams with smooth viewport camera control and interactive fullscreen editing