Add auto-discovery support (UDP discovery responder & subnet scanner) and implement virtual screen MCP server

This commit is contained in:
Adolfo Reyna
2026-06-03 14:29:49 -04:00
parent 81e7b15b61
commit 070390355e
8 changed files with 2115 additions and 2 deletions
+7
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@@ -21,6 +21,13 @@ def connect_wifi():
print("Display init failed in boot.py:", e) print("Display init failed in boot.py:", e)
# Initialize Wi-Fi Station # Initialize Wi-Fi Station
try:
import network
network.hostname('esp32screen')
print("Hostname set to: {}".format(network.hostname()))
except Exception as he:
print("Failed to set hostname: {}".format(he))
wlan = network.WLAN(network.STA_IF) wlan = network.WLAN(network.STA_IF)
wlan.active(True) wlan.active(True)
+114 -2
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@@ -4,13 +4,125 @@ import json
import urllib.request import urllib.request
import argparse import argparse
def discover_screen():
import socket
sys.stderr.write("Searching for ESP32 Screen via UDP broadcast on port 5000...\n")
sys.stderr.flush()
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
s.settimeout(1.5)
broadcast_ips = ['255.255.255.255', '<broadcast>']
try:
hostname = socket.gethostname()
ip_list = socket.gethostbyname_ex(hostname)[2]
for ip in ip_list:
if not ip.startswith('127.'):
parts = ip.split('.')
if len(parts) == 4:
subnet_bcast = f"{parts[0]}.{parts[1]}.{parts[2]}.255"
if subnet_bcast not in broadcast_ips:
broadcast_ips.append(subnet_bcast)
except:
pass
for target_ip in broadcast_ips:
try:
s.sendto(b"DISCOVER_SCREEN", (target_ip, 5000))
except:
pass
try:
data, addr = s.recvfrom(128)
if data == b"SCREEN_IP_80":
sys.stderr.write(f"Auto-discovered ESP32 Screen at IP: {addr[0]} via UDP\n")
sys.stderr.flush()
return addr[0]
except:
pass
finally:
s.close()
return None
def scan_subnet():
import socket
import concurrent.futures
try:
hostname = socket.gethostname()
local_ips = [ip for ip in socket.gethostbyname_ex(hostname)[2] if not ip.startswith('127.')]
if not local_ips:
return None
local_ip = local_ips[0]
except Exception as e:
sys.stderr.write(f"Subnet lookup error: {e}\n")
sys.stderr.flush()
return None
parts = local_ip.split('.')
if len(parts) == 4:
base_ip = f"{parts[0]}.{parts[1]}.{parts[2]}."
else:
return None
sys.stderr.write(f"Scanning local subnet {base_ip}1 to {base_ip}254 on port 80...\n")
sys.stderr.flush()
def check_ip(ip_suffix):
target_ip = f"{base_ip}{ip_suffix}"
url = f"http://{target_ip}:80/api/mcp"
payload = {
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}
req_data = json.dumps(payload).encode('utf-8')
req = urllib.request.Request(
url,
data=req_data,
headers={"Content-Type": "application/json"},
method="POST"
)
try:
with urllib.request.urlopen(req, timeout=2.0) as response:
resp_data = json.loads(response.read().decode('utf-8'))
tools = resp_data.get("result", {}).get("tools", [])
if any(t.get("name") == "clear_screen" for t in tools):
return target_ip
except:
pass
return None
with concurrent.futures.ThreadPoolExecutor(max_workers=50) as executor:
futures = [executor.submit(check_ip, i) for i in range(1, 255)]
for fut in concurrent.futures.as_completed(futures):
res = fut.result()
if res:
executor.shutdown(wait=False)
sys.stderr.write(f"Auto-discovered ESP32 Screen at IP: {res} via subnet scan\n")
sys.stderr.flush()
return res
return None
def main(): def main():
parser = argparse.ArgumentParser(description="MCP Stdio-to-HTTP Bridge for ESP32-S3-RLCD-4.2") parser = argparse.ArgumentParser(description="MCP Stdio-to-HTTP Bridge for ESP32-S3-RLCD-4.2")
parser.add_argument("--ip", required=True, help="IP address of the ESP32 board (e.g. 192.168.1.123)") parser.add_argument("--ip", help="IP address of the ESP32 board. If omitted, auto-discovery is performed.")
parser.add_argument("--port", type=int, default=80, help="Port the MCP server is listening on (default 80)") parser.add_argument("--port", type=int, default=80, help="Port the MCP server is listening on (default 80)")
args = parser.parse_args() args = parser.parse_args()
url = f"http://{args.ip}:{args.port}/api/mcp" ip = args.ip
if not ip:
ip = discover_screen()
if not ip:
sys.stderr.write("UDP broadcast discovery timed out. Initializing subnet sweep...\n")
sys.stderr.flush()
ip = scan_subnet()
if not ip:
sys.stderr.write("Subnet sweep failed. Falling back to hostname: 'esp32screen.local'\n")
sys.stderr.flush()
ip = "esp32screen.local"
url = f"http://{ip}:{args.port}/api/mcp"
sys.stderr.write(f"ESP32 MCP Stdio-to-HTTP Bridge started. Routing stdio to {url}\n") sys.stderr.write(f"ESP32 MCP Stdio-to-HTTP Bridge started. Routing stdio to {url}\n")
sys.stderr.flush() sys.stderr.flush()
+21
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@@ -26,9 +26,30 @@ class MCPServer:
# Set socket to non-blocking so the main loop can run animations concurrently # Set socket to non-blocking so the main loop can run animations concurrently
self.sock.setblocking(False) self.sock.setblocking(False)
print(f"MCP server listening on port {port}...") print(f"MCP server listening on port {port}...")
# Setup UDP socket for auto-discovery on port 5000
try:
self.udp_sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.udp_sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.udp_sock.bind(('', 5000))
self.udp_sock.setblocking(False)
print("UDP Discovery responder listening on port 5000...")
except Exception as ue:
print("Failed to bind UDP Discovery socket: {}".format(ue))
self.udp_sock = None
def update(self): def update(self):
"""Check for incoming HTTP requests and handle them non-blockingly.""" """Check for incoming HTTP requests and handle them non-blockingly."""
# 1. Handle UDP Discovery queries
if hasattr(self, 'udp_sock') and self.udp_sock is not None:
try:
data, addr = self.udp_sock.recvfrom(128)
if data == b"DISCOVER_SCREEN":
self.udp_sock.sendto(b"SCREEN_IP_80", addr)
except OSError:
pass
# 2. Check for incoming HTTP TCP connections
if self.sock is None: if self.sock is None:
return return
+101
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@@ -0,0 +1,101 @@
# Virtual Screen & Speakers MCP Companion
This directory implements a python-based Model Context Protocol (MCP) server that hosts a premium, futuristic web dashboard. You can open this web interface on **any local network device** (like a phone, tablet, or secondary monitor) to act as a virtual screen and speakers for the LLM.
```
┌─────────────────────────────────┐
│ Local LLM Client / Cursor │
└────────────────┬────────────────┘
│ (JSON-RPC over Stdio)
┌─────────────────────────────────┐
│ server.py │ <── (Maintains PIL canvas state in memory)
└────────────────┬────────────────┘
│ (JSON-RPC over WebSockets)
┌─────────────────────────────────┐
│ Browser Web Client │ (Render canvas, play Audio API tones/WAV,
│ (index.html UI) │ capture mic and upload WAV)
└─────────────────────────────────┘
```
---
## 1. Prerequisites
Ensure you have Python 3.10+ installed along with the required libraries:
```bash
pip install pillow tornado
```
---
## 2. Launching the Server
Start the companion server from this folder:
```bash
python3 server.py --port 8080
```
Upon launching, it will print out the connection URLs, such as:
```text
--------------------------------------------------
Virtual Screen & Speaker MCP Server Initialized.
Connect local devices in your browser to:
==> http://192.168.1.15:8080/
==> http://localhost:8080/
--------------------------------------------------
```
Open either URL on your laptop or enter the local IP version (`http://192.168.1.15:8080/`) into the browser of your phone or tablet.
---
## 3. Claude Desktop Integration
To register this server in Claude Desktop, open your configuration file:
* **macOS**: `/Users/<username>/Library/Application Support/Claude/claude_desktop_config.json`
* **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
Add the server to the list:
```json
{
"mcpServers": {
"virtual-companion": {
"command": "python3",
"args": [
"/Users/adolforeyna/Projects/MicroPython/test1/Screen/virtual_screen_mcp/server.py",
"--port",
"8080"
]
}
}
}
```
Restart Claude Desktop to load the companion tools.
---
## 4. Features & Tools
The server exposes the following MCP tools to the LLM:
| Tool Name | Parameters | Description |
|---|---|---|
| `clear_screen` | `color` (optional CSS color, e.g., `#1e1e2e` or legacy 0/1) | Clears the web canvas. |
| `draw_text` | `text`, `x`, `y`, `size`, `color` | Draws text with custom fonts and colors on the display. |
| `draw_shape` | `shape` (rect/circle/line), `x`, `y`, `width`, `height`, `color`, `fill` | Draws vector shapes on the canvas. |
| `draw_image` | `image_base64`, `x`, `y`, `width`, `height` | Draws base64 encoded images. |
| `get_screenshot` | *(None)* | Captures the virtual display buffer as a PNG image for the LLM. |
| `set_led` | `r`, `g`, `b`, `mode` (static/breath/rainbow/off) | Controls the CSS WS2812 NeoPixel ring. |
| `get_sensors` | *(None)* | Reads telemetry values adjusted by the dashboard sliders. |
| `play_tone` | `frequency`, `duration_ms`, `volume` | Synthesizes pure tones on the browser speakers. |
| `play_audio` | `audio_base64_or_url`, `volume` | Plays an audio track on the browser speakers. |
| `record_voice` | `duration_sec` | Captures microphone input from the browser, encodes it as a mono 16-bit WAV, and saves it. |
---
## 5. Web Client Telemetry
The dashboard provides interactive elements:
* **Virtual Sensor Sliders**: Move the sliders for Temperature, Humidity, and Light to feed custom telemetry data to the LLM. When the LLM calls `get_sensors`, it receives these live values.
* **Microphone Recorder**: Shows active microphone status, handles media constraints, and encodes 16-bit WAV files locally on the browser side.
* **LED NeoPixel ring**: Visualizes breath, rainbow, and static LED modes in full glowing CSS.
File diff suppressed because it is too large Load Diff
+12
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@@ -0,0 +1,12 @@
{
"mcpServers": {
"virtual-screen-companion": {
"command": "python3",
"args": [
"/Users/adolforeyna/Projects/MicroPython/test1/Screen/virtual_screen_mcp/server.py",
"--port",
"8080"
]
}
}
}
+677
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@@ -0,0 +1,677 @@
#!/usr/bin/env python3
import sys
import json
import socket
import asyncio
import base64
import uuid
import os
import argparse
from io import BytesIO
from PIL import Image, ImageDraw, ImageFont, ImageColor
# Third-party dependencies
import tornado.web
import tornado.websocket
import tornado.ioloop
# Global stdout reference for MCP protocol responses
mcp_stdout = None
# Helper to parse color values
def parse_color(color_val, default=(255, 255, 255, 255)):
if isinstance(color_val, (int, float)):
# Handle Waveshare legacy screen logic: 0 = White, 1 = Black
if color_val == 0:
return (255, 255, 255, 255)
else:
return (0, 0, 0, 255)
if not color_val:
return default
try:
rgb = ImageColor.getrgb(str(color_val))
if len(rgb) == 3:
return rgb + (255,)
return rgb
except Exception:
return default
# Class to manage the state of the virtual companion
class VirtualDeviceState:
def __init__(self):
# 800x600 virtual screen buffer
self.canvas = Image.new("RGBA", (800, 600), (15, 23, 42, 255)) # slate-900 initial color
self.draw = ImageDraw.Draw(self.canvas)
# LED Ring parameters
self.led_r = 0
self.led_g = 0
self.led_b = 0
self.led_mode = "off"
# Virtual sensors telemetry
self.sensor_temp = 22.5
self.sensor_hum = 45.0
self.sensor_light = 350.0
# Pending microphone recording futures
self.active_recordings = {}
def clear_screen(self, color):
fill_color = parse_color(color, (15, 23, 42, 255))
self.draw.rectangle([0, 0, 800, 600], fill=fill_color)
def draw_text(self, text, x, y, size=24, color="white"):
fill_color = parse_color(color, (255, 255, 255, 255))
# Load system fonts safely
font = None
for font_name in ["Arial.ttf", "Arial.ttc", "Helvetica.ttf", "Helvetica.ttc", "Courier.ttf"]:
try:
# Check typical paths or load by name
font = ImageFont.truetype(font_name, size)
break
except IOError:
continue
if font is None:
# Try macOS system fonts location
macos_font_path = f"/System/Library/Fonts/Supplemental/Arial.ttf"
if os.path.exists(macos_font_path):
try:
font = ImageFont.truetype(macos_font_path, size)
except IOError:
pass
if font is None:
font = ImageFont.load_default()
self.draw.text((x, y), text, fill=fill_color, font=font)
def draw_shape(self, shape, x, y, w, h, color="white", fill=False):
draw_color = parse_color(color, (255, 255, 255, 255))
if shape == "rect":
if fill:
self.draw.rectangle([x, y, x + w, y + h], fill=draw_color)
else:
self.draw.rectangle([x, y, x + w, y + h], outline=draw_color, width=2)
elif shape == "circle":
if fill:
self.draw.ellipse([x, y, x + w, y + h], fill=draw_color)
else:
self.draw.ellipse([x, y, x + w, y + h], outline=draw_color, width=2)
elif shape == "line":
self.draw.line([x, y, x + w, y + h], fill=draw_color, width=2)
def draw_image(self, image_base64, x=0, y=0, w=None, h=None):
if "," in image_base64:
image_base64 = image_base64.split(",")[1]
img_data = base64.b64decode(image_base64)
img = Image.open(BytesIO(img_data))
# Handle scaling compatibility
try:
resample_method = Image.Resampling.LANCZOS
except AttributeError:
resample_method = Image.ANTIALIAS
if w and h:
img = img.resize((w, h), resample_method)
elif w or h:
orig_w, orig_h = img.size
if w:
ratio = w / orig_w
img = img.resize((w, int(orig_h * ratio)), resample_method)
else:
ratio = h / orig_h
img = img.resize((int(orig_w * ratio), h), resample_method)
# Paste image on canvas
self.canvas.paste(img, (x, y), img if img.mode in ('RGBA', 'LA') else None)
def get_screenshot_base64(self):
buffered = BytesIO()
self.canvas.save(buffered, format="PNG")
return base64.b64encode(buffered.getvalue()).decode("utf-8")
# Instantiate device state
state = VirtualDeviceState()
# Tornado Web Application Route Handlers
class MainHandler(tornado.web.RequestHandler):
def get(self):
# Serve the index.html from the same directory
self.render("index.html")
class ClientWebSocketHandler(tornado.websocket.WebSocketHandler):
clients = set()
def check_origin(self, origin):
return True # Enable local network browser connections
def open(self):
ClientWebSocketHandler.clients.add(self)
sys.stderr.write(f"[Web Server] Client connected from: {self.request.remote_ip}\n")
sys.stderr.flush()
# Send current screen content and active LED state to client on join
self.send_initial_state()
def send_initial_state(self):
try:
b64_png = state.get_screenshot_base64()
# Draw the current canvas image to the canvas of the newly joined client
self.write_message(json.dumps({
"action": "draw_image",
"image_base64": b64_png,
"x": 0,
"y": 0,
"w": 800,
"h": 600
}))
# Send current LED settings
self.write_message(json.dumps({
"action": "set_led",
"r": state.led_r,
"g": state.led_g,
"b": state.led_b,
"mode": state.led_mode
}))
except Exception as e:
sys.stderr.write(f"[Web Server] Error syncing state: {e}\n")
sys.stderr.flush()
def on_close(self):
ClientWebSocketHandler.clients.remove(self)
sys.stderr.write("[Web Server] Client disconnected\n")
sys.stderr.flush()
def on_message(self, message):
try:
data = json.loads(message)
event = data.get("event")
if event == "sensor_update":
state.sensor_temp = data.get("temperature", 22.5)
state.sensor_hum = data.get("humidity", 45.0)
state.sensor_light = data.get("light", 350.0)
elif event == "voice_recording":
rec_id = data.get("recording_id")
if rec_id in state.active_recordings:
fut = state.active_recordings[rec_id]
if not fut.done():
error_msg = data.get("error")
if error_msg:
fut.set_exception(RuntimeError(error_msg))
else:
fut.set_result(data.get("audio_base64"))
elif event == "ping":
# Respond to browser ping with pong latency calculation
self.write_message(json.dumps({"event": "pong", "t": data.get("t")}))
except Exception as e:
sys.stderr.write(f"[Web Server] Error processing message: {e}\n")
sys.stderr.flush()
@classmethod
def broadcast(cls, payload):
msg = json.dumps(payload)
for client in cls.clients:
try:
client.write_message(msg)
except Exception:
pass
# Send responses back to the LLM Client via stdio
def send_rpc_response(resp):
payload = json.dumps(resp) + "\n"
mcp_stdout.write(payload)
mcp_stdout.flush()
# Get local LAN IP address
def get_local_ip():
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
try:
s.connect(('10.255.255.255', 1))
IP = s.getsockname()[0]
except Exception:
IP = '127.0.0.1'
finally:
s.close()
return IP
# Define the list of MCP tools
def get_mcp_tools_list():
return [
{
"name": "clear_screen",
"description": "Clear the virtual screen. Optionally specify color (e.g. standard hex '#1e1e2e', name 'white', or 0 for white / 1 for black).",
"inputSchema": {
"type": "object",
"properties": {
"color": {"type": "string", "description": "Color hex, CSS name, or integer (0=white, 1=black)"}
}
}
},
{
"name": "draw_text",
"description": "Draw text at specified (x,y) coordinates on the virtual display.",
"inputSchema": {
"type": "object",
"properties": {
"text": {"type": "string", "description": "The text message to draw"},
"x": {"type": "integer", "description": "X coordinate (0-780)"},
"y": {"type": "integer", "description": "Y coordinate (0-580)"},
"size": {"type": "integer", "description": "Font size in pixels (default 24)"},
"color": {"type": "string", "description": "Text color (default 'white')"}
},
"required": ["text", "x", "y"]
}
},
{
"name": "draw_shape",
"description": "Draw a geometric shape (rectangle, circle, or line) on the virtual display.",
"inputSchema": {
"type": "object",
"properties": {
"shape": {"type": "string", "enum": ["rect", "circle", "line"], "description": "Type of shape"},
"x": {"type": "integer", "description": "Start X coordinate"},
"y": {"type": "integer", "description": "Start Y coordinate"},
"width": {"type": "integer", "description": "Width (or delta X for line)"},
"height": {"type": "integer", "description": "Height (or delta Y for line)"},
"color": {"type": "string", "description": "Color of the outline or fill (default 'white')"},
"fill": {"type": "boolean", "description": "Whether to fill the shape (default false)"}
},
"required": ["shape", "x", "y", "width", "height"]
}
},
{
"name": "draw_image",
"description": "Draw a base64 encoded PNG or JPEG image on the virtual screen at (x,y).",
"inputSchema": {
"type": "object",
"properties": {
"image_base64": {"type": "string", "description": "Base64 encoded string of the image file"},
"x": {"type": "integer", "description": "X coordinate (default 0)", "default": 0},
"y": {"type": "integer", "description": "Y coordinate (default 0)", "default": 0},
"width": {"type": "integer", "description": "Width to scale the image (optional)"},
"height": {"type": "integer", "description": "Height to scale the image (optional)"}
},
"required": ["image_base64"]
}
},
{
"name": "get_screenshot",
"description": "Capture the current virtual display buffer and return it as a PNG image, allowing you to see what is currently rendered on the screen.",
"inputSchema": {"type": "object", "properties": {}}
},
{
"name": "set_led",
"description": "Control the virtual RGB LED ring lights.",
"inputSchema": {
"type": "object",
"properties": {
"r": {"type": "integer", "minimum": 0, "maximum": 255, "description": "Red channel (0-255)"},
"g": {"type": "integer", "minimum": 0, "maximum": 255, "description": "Green channel (0-255)"},
"b": {"type": "integer", "minimum": 0, "maximum": 255, "description": "Blue channel (0-255)"},
"mode": {"type": "string", "enum": ["static", "breath", "rainbow", "off"], "description": "LED animation mode"}
},
"required": ["r", "g", "b", "mode"]
}
},
{
"name": "get_sensors",
"description": "Read telemetry values from virtual temperature, humidity, and ambient light sensors.",
"inputSchema": {"type": "object", "properties": {}}
},
{
"name": "play_tone",
"description": "Play a sound tone of a specific frequency and duration on the virtual speaker.",
"inputSchema": {
"type": "object",
"properties": {
"frequency": {"type": "integer", "description": "Frequency in Hz (default 440)"},
"duration_ms": {"type": "integer", "description": "Duration in milliseconds (default 1000)"},
"volume": {"type": "integer", "minimum": 0, "maximum": 100, "description": "Volume percent from 0 to 100 (default 50)"}
}
}
},
{
"name": "play_audio",
"description": "Play a base64 encoded audio track (like WAV or MP3) or an audio URL on the virtual speaker.",
"inputSchema": {
"type": "object",
"properties": {
"audio_base64_or_url": {"type": "string", "description": "Base64 audio bytes or accessible audio file URL"},
"volume": {"type": "integer", "minimum": 0, "maximum": 100, "description": "Volume percent from 0 to 100 (default 50)"}
},
"required": ["audio_base64_or_url"]
}
},
{
"name": "record_voice",
"description": "Record voice commands/input from the connected client's microphone for a specified duration.",
"inputSchema": {
"type": "object",
"properties": {
"duration_sec": {"type": "integer", "minimum": 1, "maximum": 20, "description": "Duration to record in seconds (default 4)", "default": 4}
}
}
}
]
# Execute tool operations
async def execute_mcp_tool(name, args):
if name == "clear_screen":
color = args.get("color", 0)
state.clear_screen(color)
ClientWebSocketHandler.broadcast({"action": "clear", "color": color})
return "Screen cleared successfully."
elif name == "draw_text":
text = str(args.get("text", ""))
x = int(args.get("x", 10))
y = int(args.get("y", 10))
size = int(args.get("size", 24))
color = str(args.get("color", "white"))
state.draw_text(text, x, y, size, color)
ClientWebSocketHandler.broadcast({
"action": "draw_text",
"text": text,
"x": x,
"y": y,
"size": size,
"color": color
})
return f"Successfully drew text at ({x}, {y})."
elif name == "draw_shape":
shape = str(args.get("shape"))
x = int(args.get("x"))
y = int(args.get("y"))
w = int(args.get("width"))
h = int(args.get("height"))
color = str(args.get("color", "white"))
fill = bool(args.get("fill", False))
state.draw_shape(shape, x, y, w, h, color, fill)
ClientWebSocketHandler.broadcast({
"action": "draw_shape",
"shape": shape,
"x": x,
"y": y,
"w": w,
"h": h,
"color": color,
"fill": fill
})
return f"Successfully drew {shape} shape."
elif name == "draw_image":
img_b64 = str(args.get("image_base64"))
x = int(args.get("x", 0))
y = int(args.get("y", 0))
w = args.get("width")
h = args.get("height")
if w is not None: w = int(w)
if h is not None: h = int(h)
state.draw_image(img_b64, x, y, w, h)
ClientWebSocketHandler.broadcast({
"action": "draw_image",
"image_base64": img_b64,
"x": x,
"y": y,
"w": w,
"h": h
})
return "Successfully rendered image on display."
elif name == "get_screenshot":
b64_png = state.get_screenshot_base64()
return [
{
"type": "image",
"data": b64_png,
"mimeType": "image/png"
}
]
elif name == "set_led":
r = int(args.get("r", 0))
g = int(args.get("g", 0))
b = int(args.get("b", 0))
mode = str(args.get("mode", "static"))
state.led_r, state.led_g, state.led_b, state.led_mode = r, g, b, mode
ClientWebSocketHandler.broadcast({
"action": "set_led",
"r": r,
"g": g,
"b": b,
"mode": mode
})
return f"NeoPixel LED ring set to '{mode}' mode with color ({r}, {g}, {b})."
elif name == "get_sensors":
return json.dumps({
"temperature_c": state.sensor_temp,
"humidity_pct": state.sensor_hum,
"light_lux": state.sensor_light
})
elif name == "play_tone":
freq = int(args.get("frequency", 440))
dur = int(args.get("duration_ms", 1000))
vol = int(args.get("volume", 50))
ClientWebSocketHandler.broadcast({
"action": "play_tone",
"frequency": freq,
"duration": dur,
"volume": vol / 100.0
})
return f"Played synthesized tone at {freq}Hz for {dur}ms."
elif name == "play_audio":
audio_payload = str(args.get("audio_base64_or_url"))
vol = int(args.get("volume", 50))
ClientWebSocketHandler.broadcast({
"action": "play_audio",
"audio": audio_payload,
"volume": vol / 100.0
})
return "Successfully transmitted audio buffer."
elif name == "record_voice":
dur = int(args.get("duration_sec", 4))
if not ClientWebSocketHandler.clients:
return "No active browser sessions to capture microphone input. Recording aborted."
rec_id = str(uuid.uuid4())
loop = asyncio.get_running_loop()
fut = loop.create_future()
state.active_recordings[rec_id] = fut
ClientWebSocketHandler.broadcast({
"action": "record_voice",
"duration_sec": dur,
"recording_id": rec_id
})
try:
# Wait for client recording with a safety buffer
audio_b64 = await asyncio.wait_for(fut, timeout=dur + 5.0)
audio_bytes = base64.b64decode(audio_b64)
# Save the WAV file to local disk
filename = f"recording_{rec_id[:8]}.wav"
with open(filename, "wb") as f:
f.write(audio_bytes)
return f"Successfully recorded {dur} seconds of audio. File saved to '{filename}'."
except asyncio.TimeoutError:
return "Microphone recording timed out. Make sure the connected web client has granted mic permissions."
except Exception as e:
return f"Microphone recording failed: {str(e)}"
finally:
state.active_recordings.pop(rec_id, None)
else:
raise ValueError(f"Unknown MCP tool: {name}")
# Handles parsed MCP stdin request objects
async def handle_mcp_request(req):
method = req.get("method")
rpc_id = req.get("id")
is_notification = rpc_id is None
if method == "initialize":
resp = {
"jsonrpc": "2.0",
"id": rpc_id,
"result": {
"protocolVersion": "2024-11-05",
"capabilities": {
"tools": {}
},
"serverInfo": {
"name": "virtual-screen-mcp",
"version": "1.0.0"
}
}
}
send_rpc_response(resp)
return
elif method == "tools/list":
resp = {
"jsonrpc": "2.0",
"id": rpc_id,
"result": {
"tools": get_mcp_tools_list()
}
}
send_rpc_response(resp)
return
elif method == "tools/call":
params = req.get("params", {})
tool_name = params.get("name")
arguments = params.get("arguments", {})
try:
result = await execute_mcp_tool(tool_name, arguments)
if isinstance(result, list):
content = result
else:
content = [{"type": "text", "text": str(result)}]
resp = {
"jsonrpc": "2.0",
"id": rpc_id,
"result": {
"content": content
}
}
except Exception as e:
resp = {
"jsonrpc": "2.0",
"id": rpc_id,
"error": {
"code": -32000,
"message": str(e)
}
}
send_rpc_response(resp)
return
if not is_notification:
resp = {
"jsonrpc": "2.0",
"id": rpc_id,
"error": {
"code": -32601,
"message": f"Method {method} not found"
}
}
send_rpc_response(resp)
# Read stdin line-by-line asynchronously
async def stdio_reader_loop():
loop = asyncio.get_running_loop()
reader = asyncio.StreamReader()
protocol = asyncio.StreamReaderProtocol(reader)
await loop.connect_read_pipe(lambda: protocol, sys.stdin)
while True:
line = await reader.readline()
if not line:
break
try:
req = json.loads(line.decode('utf-8').strip())
await handle_mcp_request(req)
except Exception as e:
sys.stderr.write(f"[MCP Stdio] Error handling line input: {e}\n")
sys.stderr.flush()
# Strong references to prevent garbage collection of background tasks
background_tasks = set()
# Async main runtime loop
async def main_async(port):
app = tornado.web.Application([
(r"/", MainHandler),
(r"/ws", ClientWebSocketHandler),
], template_path=os.path.dirname(os.path.abspath(__file__)))
app.listen(port)
local_ip = get_local_ip()
sys.stderr.write(f"--------------------------------------------------\n")
sys.stderr.write(f"Virtual Screen & Speaker MCP Server Initialized.\n")
sys.stderr.write(f"Connect local devices in your browser to:\n")
sys.stderr.write(f"==> http://{local_ip}:{port}/\n")
sys.stderr.write(f"==> http://localhost:{port}/\n")
sys.stderr.write(f"--------------------------------------------------\n")
sys.stderr.flush()
# Spawn the stdin line reader task and store a strong reference
task = asyncio.create_task(stdio_reader_loop())
background_tasks.add(task)
task.add_done_callback(background_tasks.discard)
# Run indefinitely
while True:
await asyncio.sleep(3600)
def main():
parser = argparse.ArgumentParser(description="Virtual Screen & Speakers MCP Server")
parser.add_argument("--port", type=int, default=8080, help="Web port (default 8080)")
args = parser.parse_args()
# Set the MCP stdio channel
global mcp_stdout
mcp_stdout = sys.stdout
# Route default stdout to stderr so prints don't interrupt standard JSON-RPC communications
sys.stdout = sys.stderr
try:
asyncio.run(main_async(args.port))
except KeyboardInterrupt:
sys.stderr.write("[Server] Stopped by KeyboardInterrupt.\n")
sys.stderr.flush()
if __name__ == "__main__":
main()
+101
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#!/usr/bin/env python3
import subprocess
import json
import base64
import time
import os
def run_test():
print("Starting server.py in a subprocess for stdio test...")
# Start server in subprocess on port 8089 to avoid port conflicts
proc = subprocess.Popen(
["python3", "server.py", "--port", "8089"],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.DEVNULL, # ignore logs on stderr
text=True,
bufsize=1
)
# Wait a moment for server to bind
time.sleep(1.5)
def send_cmd(cmd_dict):
proc.stdin.write(json.dumps(cmd_dict) + "\n")
proc.stdin.flush()
line = proc.stdout.readline()
if not line:
return None
return json.loads(line.strip())
print("\n[1/4] Sending initialize request...")
init_resp = send_cmd({
"jsonrpc": "2.0",
"id": 1,
"method": "initialize",
"params": {}
})
print("Response:", json.dumps(init_resp, indent=2))
print("\n[2/4] Sending clear_screen tool call...")
resp = send_cmd({
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "clear_screen",
"arguments": {"color": "#1e1e2e"}
}
})
print("Response:", json.dumps(resp, indent=2))
print("\n[3/4] Sending draw_text tool call...")
resp = send_cmd({
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "draw_text",
"arguments": {
"text": "TEST SUCCEEDED",
"x": 200,
"y": 280,
"size": 48,
"color": "#10b981"
}
}
})
print("Response:", json.dumps(resp, indent=2))
print("\n[4/4] Sending get_screenshot tool call...")
resp = send_cmd({
"jsonrpc": "2.0",
"id": 4,
"method": "tools/call",
"params": {
"name": "get_screenshot",
"arguments": {}
}
})
try:
content = resp["result"]["content"][0]
if content["type"] == "image":
img_b64 = content["data"]
output_file = "test_screenshot.png"
with open(output_file, "wb") as f:
f.write(base64.b64decode(img_b64))
print(f"Success! Captured screenshot saved to: {os.path.abspath(output_file)}")
else:
print("Failed: content is not an image", content)
except Exception as e:
print("Error reading screenshot response:", e)
print("Raw response:", resp)
# Stop subprocess
proc.terminate()
proc.wait()
print("\nVerification script finished.")
if __name__ == "__main__":
run_test()