Files
mcp_screen/mcp_server.py
T
2026-06-01 14:53:22 -04:00

527 lines
23 KiB
Python

import socket
import json
import time
class MCPServer:
"""A lightweight JSON-RPC HTTP server implementing Model Context Protocol (MCP) endpoints."""
def __init__(self, display, led, battery, sensor, rtc, ble):
self.display = display
self.led = led
self.battery = battery
self.sensor = sensor
self.rtc = rtc
self.ble = ble
self.sock = None
self.active_led_mode = "off" # static, breath, rainbow, off
self.override_active = False
def start(self, port=80):
"""Starts the TCP server non-blockingly."""
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.sock.bind(('', port))
self.sock.listen(3)
# Set socket to non-blocking so the main loop can run animations concurrently
self.sock.setblocking(False)
print(f"MCP server listening on port {port}...")
def update(self):
"""Check for incoming HTTP requests and handle them non-blockingly."""
if self.sock is None:
return
try:
client, addr = self.sock.accept()
except OSError:
# No incoming connection
return
try:
# Handle incoming connection
client.settimeout(2.0)
req = client.recv(2048).decode('utf-8')
# Simple HTTP parser
lines = req.split('\r\n')
if len(lines) == 0:
client.close()
return
first_line = lines[0]
parts = first_line.split(' ')
if len(parts) < 3:
client.close()
return
method, path = parts[0], parts[1]
if method == 'POST' and path == '/api/mcp':
# Read content length
content_length = 0
for line in lines:
if line.lower().startswith('content-length:'):
content_length = int(line.split(':')[1].strip())
break
# Locate start of JSON body
body = ""
if '\r\n\r\n' in req:
body = req.split('\r\n\r\n', 1)[1]
# Read remaining body if not fully received
while len(body) < content_length:
body += client.recv(1024).decode('utf-8')
# Parse JSON-RPC 2.0 Request
rpc_req = json.loads(body)
rpc_resp = self._handle_rpc(rpc_req)
# Send HTTP Response
resp_body = json.dumps(rpc_resp)
resp = "HTTP/1.1 200 OK\r\n"
resp += "Content-Type: application/json\r\n"
resp += f"Content-Length: {len(resp_body)}\r\n"
resp += "Connection: close\r\n\r\n"
resp += resp_body
client.send(resp.encode('utf-8'))
else:
# Return 404
resp = "HTTP/1.1 404 Not Found\r\nContent-Length: 0\r\nConnection: close\r\n\r\n"
client.send(resp.encode('utf-8'))
except Exception as e:
print("Error handling client:", e)
finally:
client.close()
def _handle_rpc(self, req):
rpc_id = req.get('id')
method = req.get('method')
params = req.get('params', {})
if method == 'tools/list':
return {
"jsonrpc": "2.0",
"result": {
"tools": [
{
"name": "clear_screen",
"description": "Clear the 400x300 screen to white (0) or black (1).",
"inputSchema": {
"type": "object",
"properties": {
"color": {"type": "integer", "enum": [0, 1], "description": "0 = White, 1 = Black"}
},
"required": ["color"]
}
},
{
"name": "draw_text",
"description": "Draw text on the screen at specified (x,y) coordinates.",
"inputSchema": {
"type": "object",
"properties": {
"text": {"type": "string", "description": "The message to display"},
"x": {"type": "integer", "description": "X coordinate (0-390)"},
"y": {"type": "integer", "description": "Y coordinate (0-290)"},
"size": {"type": "integer", "enum": [1, 2], "description": "Text scale (1=normal, 2=large)"}
},
"required": ["text", "x", "y"]
}
},
{
"name": "set_led",
"description": "Control the onboard WS2812 NeoPixel RGB LED.",
"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 mode"}
},
"required": ["r", "g", "b", "mode"]
}
},
{
"name": "get_battery",
"description": "Read the current battery voltage and estimated capacity percentage.",
"inputSchema": {"type": "object", "properties": {}}
},
{
"name": "get_sensors",
"description": "Read onboard SHTC3 temperature and relative humidity.",
"inputSchema": {"type": "object", "properties": {}}
},
{
"name": "scan_ble",
"description": "Scan for nearby Bluetooth Low Energy devices / tracking tags.",
"inputSchema": {
"type": "object",
"properties": {
"duration_ms": {"type": "integer", "description": "Scan duration in milliseconds (default 3000)"}
}
}
},
{
"name": "get_screenshot",
"description": "Capture the current reflective LCD screen rendering as a PNG image.",
"inputSchema": {"type": "object", "properties": {}}
},
{
"name": "draw_image",
"description": "Draw an image (PNG, JPEG, GIF, BMP, etc.) on the screen. The image will be converted to 1-bit monochrome and fit to display boundaries.",
"inputSchema": {
"type": "object",
"properties": {
"image_base64": {"type": "string", "description": "Base64 encoded string of the source image file"},
"x": {"type": "integer", "description": "X coordinate to place the image (default 0)", "default": 0},
"y": {"type": "integer", "description": "Y coordinate to place the image (default 0)", "default": 0},
"dither": {"type": "boolean", "description": "Whether to use Floyd-Steinberg dithering (default true)", "default": True}
},
"required": ["image_base64"]
}
},
{
"name": "write_file",
"description": "Write a file (e.g., python script or config) to the board's flash storage.",
"inputSchema": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "The destination file path (e.g. 'my_script.py')"},
"content": {"type": "string", "description": "The text content of the file"}
},
"required": ["path", "content"]
}
},
{
"name": "read_file",
"description": "Read a text file from the board's flash storage.",
"inputSchema": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "The file path to read (e.g. 'boot.py')"}
},
"required": ["path"]
}
},
{
"name": "execute_python",
"description": "Execute arbitrary Python code dynamically on the board. Standard output (prints) and errors will be captured and returned.",
"inputSchema": {
"type": "object",
"properties": {
"code": {"type": "string", "description": "The Python code to execute"}
},
"required": ["code"]
}
},
{
"name": "play_tone",
"description": "Play a pure sine wave tone/beep on the board speaker.",
"inputSchema": {
"type": "object",
"properties": {
"frequency": {"type": "integer", "description": "Frequency of the tone in Hz (e.g. 440 for A4, default 440)", "default": 440},
"duration_ms": {"type": "integer", "description": "Duration of the tone in milliseconds (default 1000)", "default": 1000},
"volume": {"type": "integer", "description": "Volume of the tone from 0 to 100 (default 50)", "default": 50}
}
}
},
{
"name": "play_audio",
"description": "Play a standard WAV audio file on the speaker.",
"inputSchema": {
"type": "object",
"properties": {
"filename": {"type": "string", "description": "WAV file path to play (e.g. 'response.wav')"},
"volume": {"type": "integer", "description": "Volume from 0 to 100 (default 50)", "default": 50}
},
"required": ["filename"]
}
},
{
"name": "record_voice",
"description": "Record voice command from the microphone to a raw stereo PCM file.",
"inputSchema": {
"type": "object",
"properties": {
"duration_sec": {"type": "integer", "description": "Duration in seconds (default 4)", "default": 4},
"filename": {"type": "string", "description": "Destination file path (e.g. 'recording.pcm')", "default": "recording.pcm"}
}
}
},
{
"name": "play_audio_base64",
"description": "Decode a base64-encoded WAV file and play it directly on the speaker.",
"inputSchema": {
"type": "object",
"properties": {
"wav_base64": {"type": "string", "description": "Base64 encoded string of the WAV audio file"},
"volume": {"type": "integer", "description": "Volume from 0 to 100 (default 50)", "default": 50}
},
"required": ["wav_base64"]
}
}
]
},
"id": rpc_id
}
elif method == 'tools/call':
tool_name = params.get('name')
args = params.get('arguments', {})
try:
content = self._call_tool(tool_name, args)
return {
"jsonrpc": "2.0",
"result": {
"content": [
{
"type": "text",
"text": content
}
]
},
"id": rpc_id
}
except Exception as e:
return {
"jsonrpc": "2.0",
"error": {
"code": -32000,
"message": str(e)
},
"id": rpc_id
}
return {
"jsonrpc": "2.0",
"error": {
"code": -32601,
"message": f"Method {method} not found"
},
"id": rpc_id
}
def _call_tool(self, name, args):
"""Executes hardware actions depending on the called tool name."""
if name == "clear_screen":
self.override_active = True
color = int(args.get("color", 0))
self.display.clear(color)
self.display.show()
return "Screen cleared."
elif name == "draw_text":
self.override_active = True
text = str(args.get("text", ""))
x = int(args.get("x", 10))
y = int(args.get("y", 10))
size = int(args.get("size", 1))
if size == 2:
self.display.text_large(text, x, y, scale=2, c=1)
else:
self.display.text(text, x, y, 1)
self.display.show()
return f"Successfully drew text '{text}' at ({x}, {y}) with size {size}."
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"))
self.active_led_mode = mode
if mode == "static":
self.led.set_color(r, g, b)
elif mode == "off":
self.led.off()
else:
# Store base color for animations
self.led.base_color = (r, g, b)
return f"LED set to mode '{mode}' with base color ({r}, {g}, {b})."
elif name == "get_battery":
v = self.battery.read_voltage()
p = self.battery.read_percentage()
return json.dumps({"voltage_v": v, "percentage_pct": p})
elif name == "get_sensors":
t, h = self.sensor.read_sensor()
return json.dumps({"temperature_c": t, "humidity_pct": h})
elif name == "scan_ble":
dur = int(args.get("duration_ms", 3000))
# Scan returns dictionary: {mac: {rssi: rssi, name: name}}
devices = self.ble.scan(dur)
return json.dumps(devices)
elif name == "get_screenshot":
import binascii
filename = 'screenshot_mcp.pbm'
try:
self.display.save_screenshot(filename)
with open(filename, 'rb') as f:
data = f.read()
# Encode to base64
b64 = binascii.b2a_base64(data).decode('utf-8').strip()
return f"__PBM_BASE64__:{b64}"
except Exception as e:
raise RuntimeError(f"Screenshot capture failed: {e}")
elif name == "draw_image":
self.override_active = True
pbm_b64 = args.get("pbm_base64")
x = int(args.get("x", 0))
y = int(args.get("y", 0))
if not pbm_b64:
raise ValueError("Missing pbm_base64 parameter (preprocessed by bridge)")
import binascii
pbm_bytes = binascii.a2b_base64(pbm_b64)
filename = 'temp_recv.pbm'
with open(filename, 'wb') as f:
f.write(pbm_bytes)
try:
self.display.draw_pbm(filename, x, y, scale=1)
self.display.show()
finally:
import os
try:
os.remove(filename)
except:
pass
return "Image displayed successfully."
elif name == "write_file":
path = str(args.get("path"))
content = str(args.get("content"))
with open(path, 'w') as f:
f.write(content)
return f"Successfully wrote {len(content)} characters to '{path}'."
elif name == "read_file":
path = str(args.get("path"))
with open(path, 'r') as f:
content = f.read()
return content
elif name == "execute_python":
code = str(args.get("code"))
import builtins
import sys
import io
output_buffer = []
old_print = builtins.print
def custom_print(*args, **kwargs):
sep = kwargs.get('sep', ' ')
end = kwargs.get('end', '\n')
str_args = [str(arg) for arg in args]
msg = sep.join(str_args) + end
output_buffer.append(msg)
builtins.print = custom_print
error = None
try:
exec(code, globals())
except Exception as e:
tb_file = io.StringIO()
sys.print_exception(e, tb_file)
error_msg = tb_file.getvalue()
output_buffer.append(f"\nExecution Failed:\n{error_msg}")
error = e
finally:
builtins.print = old_print
output = "".join(output_buffer)
if error:
return output
return f"Execution Succeeded. Console output:\n{output}"
elif name == "play_tone":
freq = int(args.get("frequency", 440))
duration = int(args.get("duration_ms", 1000))
vol = int(args.get("volume", 50))
# Limit duration to prevent blocking the main loop for too long
duration = max(50, min(5000, duration))
freq = max(50, min(10000, freq))
vol = max(0, min(100, vol))
from audio_util import play_tone
play_tone(frequency=freq, duration_ms=duration, volume=vol)
return f"Played tone of {freq}Hz for {duration}ms at volume {vol}."
elif name == "play_audio":
filename = str(args.get("filename"))
vol = int(args.get("volume", 50))
vol = max(0, min(100, vol))
from audio_util import play_wav
success = play_wav(filename, volume=vol)
if success:
return f"Successfully played audio file '{filename}'."
else:
raise RuntimeError(f"Failed to play audio file '{filename}'. Check format (16kHz 16-bit PCM WAV recommended).")
elif name == "record_voice":
duration = int(args.get("duration_sec", 4))
filename = str(args.get("filename", "recording.pcm"))
# Clamp duration to a reasonable range
duration = max(1, min(15, duration))
from audio_util import record_audio
success = record_audio(duration_seconds=duration, filename=filename)
if success:
return f"Successfully recorded {duration} seconds of audio to '{filename}'."
else:
raise RuntimeError("Audio recording failed.")
elif name == "play_audio_base64":
b64_data = args.get("wav_base64")
vol = int(args.get("volume", 50))
vol = max(0, min(100, vol))
if not b64_data:
raise ValueError("Missing wav_base64 parameter.")
import binascii
try:
audio_bytes = binascii.a2b_base64(b64_data)
except Exception as e:
raise ValueError(f"Failed to decode base64 audio: {e}")
filename = "temp_play.wav"
with open(filename, "wb") as f:
f.write(audio_bytes)
try:
from audio_util import play_wav
success = play_wav(filename, volume=vol)
finally:
import os
try:
os.remove(filename)
except:
pass
if success:
return "Successfully played base64 audio stream."
else:
raise RuntimeError("Failed to play decoded audio stream. Check format (16kHz 16-bit PCM WAV recommended).")
else:
raise ValueError(f"Unknown tool: {name}")