📡 MCP Signaling Server (Django + Channels + ASGI)

@yer-retb

About 📡 MCP Signaling Server (Django + Channels + ASGI)

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Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Asynchronous-MCP-Server-with-WebRTC-Signaling": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

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Overview

What is MCP Signaling Server (Django + Channels + ASGI)?

An asynchronous backend WebSocket signaling server built with Django and Channels, implementing a custom protocol called MCP (Message Context Protocol) for real-time WebRTC signaling. It allows React frontend clients to exchange signaling messages without using REST APIs.

How to use MCP Signaling Server (Django + Channels + ASGI)?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, then run the server using daphne mcp_server.asgi:application. Connect via WebSocket at ws://127.0.0.1:8000/ws/signal/?room=ROOM_NAME. A test script (test_mcp.py) is provided to simulate two clients.

Key features of MCP Signaling Server (Django + Channels + ASGI)

ASGI-compliant Django server with real-time WebSocket support
Custom signaling protocol: MCP (Message Context Protocol)
Room-based signaling (multi-user capable)
Supports offer, answer, candidate, and leave messages
Works with any frontend WebRTC client (React, etc.)
Includes test script for two-client simulation

Use cases of MCP Signaling Server (Django + Channels + ASGI)

Set up peer-to-peer video/audio chat with WebRTC signaling
Enable real-time messaging between two browser clients via WebRTC DataChannels
Test and develop custom WebRTC signaling logic with a lightweight backend
Create room-based applications where exactly two peers communicate directly
Demonstrate integration of Django Channels with WebSocket and WebRTC

FAQ from MCP Signaling Server (Django + Channels + ASGI)

How many peers can join a room?

Only two peers are allowed per room. A third client is rejected by the backend and receives an error.

What are the runtime dependencies?

The server requires Python 3, Django, Channels, and Daphne (ASGI server). The frontend requires Node.js and npm.

Where are signaling rooms stored?

Rooms are kept in memory using Python dictionaries (in‑memory storage) for development simplicity.

What WebSocket transport does the server use?

The server uses ASGI via Daphne; clients connect using the ws:// protocol (e.g., ws://localhost:8000/ws/signal/?room=ROOM_NAME).

Does the server include authentication or authorization?

The README does not mention any authentication mechanism; the signaling server appears to be open to any WebSocket connection.

Frequently asked questions

How many peers can join a room?

Only two peers are allowed per room. A third client is rejected by the backend and receives an error.

What are the runtime dependencies?

The server requires Python 3, Django, Channels, and Daphne (ASGI server). The frontend requires Node.js and npm.

Where are signaling rooms stored?

Rooms are kept in memory using Python dictionaries (in‑memory storage) for development simplicity.

What WebSocket transport does the server use?

The server uses ASGI via Daphne; clients connect using the `ws://` protocol (e.g., `ws://localhost:8000/ws/signal/?room=ROOM_NAME`).

Does the server include authentication or authorization?

The README does not mention any authentication mechanism; the signaling server appears to be open to any WebSocket connection.

Comments

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