Skip to main content
Glama

ChillMCP

by greatSumini
advanced.py6.25 kB
"""Advanced slacking tools for ChillMCP.""" import random import time from fastmcp import FastMCP from chillmcp.domain import boss, stress from chillmcp.lib.response import build_response_text from chillmcp.state import ServerState def register_advanced_tools(mcp: FastMCP, state: ServerState) -> None: """Register advanced slacking tools with the MCP server.""" @mcp.tool() def bathroom_break() -> str: """Take a bathroom break and scroll through your phone.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response activities = [ "scrolling through social media", "playing mobile games", "browsing online shopping", "watching short videos", "reading news", ] activity = random.choice(activities) summary = f"Bathroom break with {activity}... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def coffee_mission() -> str: """Go on a 'coffee mission' - walk around the office.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response routes = [ "took the scenic route through all floors", "chatted with colleagues along the way", "checked out the vending machines", "visited the rooftop garden", "stopped by the lounge area", ] route = random.choice(routes) summary = f"Coffee mission: {route}... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def urgent_call() -> str: """Pretend to take an urgent call and step outside.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response excuses = [ "important family matter", "doctor's appointment confirmation", "bank security issue", "delivery coordination", "emergency home repair", ] excuse = random.choice(excuses) summary = f"Urgent call about '{excuse}'... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def deep_thinking() -> str: """Pretend to be deep in thought while zoning out.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response thoughts = [ "staring at the ceiling contemplating life", "gazing out the window at clouds", "pondering the meaning of code", "contemplating lunch options", "thinking about weekend plans", ] thought = random.choice(thoughts) summary = f"Deep thinking mode: {thought}... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def email_organizing() -> str: """Organize emails while actually browsing online.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response activities = [ "online shopping for gadgets", "browsing travel deals", "checking out new restaurants", "reading tech blogs", "watching product reviews", ] activity = random.choice(activities) summary = ( f"Email organizing session with {activity}... reduced stress by {reduction} points" ) response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/greatSumini/hello-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server