Boost Your Agents with MCPs - Productivity Customized Tools

A. Features

a. Calendar Integration

Function	Description	Intelligence
create_event	Schedule new meetings/appointments	Conflict detection, optimal time suggestions
list_events	View calendar for specific dates	Smart filtering, availability analysis
check_availability	Find free time slots	Multi-day search, duration-aware
delete_event	Remove scheduled events	Cascade handling, notification support

b. Weather Intelligence

Function	Description	Intelligence
get_alerts	Get weather alerts for US states	Real-time severe weather notifications
get_forecast	Multi-day weather predictions	Official NWS forecasts with detailed periods
get_current_weather	Current observation data	Real-time conditions from weather stations

c. Analyzer

Function	Description	Intelligence
add	Add two numbers together	Total
subtract	Subtract second number from first number	Comparison
multiply	Multiply two numbers together	multiplication
divide	Divide first number by second number	Percentage
power	power of a number	Repitition
factorial	factorial of positive number	Is It A Prime Number?

B. Testing

a. Calendar

1. Natural Language Queries

Try these conversational requests:

Query	Expected Behavior
"Schedule a team meeting tomorrow at 2pm"	Creates event, checks conflicts
"Do I have anything on Friday afternoon?"	Lists events for specified time
"Find me 30 minutes free time this week"	Suggests available slots
"Cancel my 3pm meeting today"	Finds and removes matching event

2. Complex Scenarios

The AI agent can handle complex requests as well:

I need to schedule a 90-minute project review with the team. I'm free Tuesday and Wednesday afternoons. What works best?

Agent Process:
1. Calls check_availability() for Tuesday/Wednesday afternoons
2. Finds optimal 90-minute slots
3. Suggests best options based on preferences
4. Creates event when user confirms

3. Error Handling

The calendar server handles various edge cases:

Error Type	Handling	User Experience
Invalid Date Format	Parse error with format help	"Please use format: YYYY-MM-DD HH:MM"
Past Date Scheduling	Validation with warning	"Cannot schedule events in the past"
File Corruption	Backup and recovery	Graceful fallback to empty calendar
Concurrent Access	File locking	Prevents data corruption

b. Weather

1. Natural Language Queries

Try these conversational weather requests:

Query	Expected Behavior
"Get current weather for Seattle"	Current conditions from nearest station
"Show me the forecast for San Francisco"	5-day detailed forecast periods
"Are there any weather alerts in California?"	Active severe weather alerts for CA
"What's the weather like in New York?"	Current observations with temperature

2. Error Handling

The server handles various failure modes gracefully:

• Network timeouts: 30-second timeout prevents hanging
• Invalid coordinates: Clear error messages for bad inputs
• API unavailable: Graceful degradation with error messages
• Missing data: Handles null/missing fields safely
• State code validation: Validates US state codes for alerts

c. Analyzer

1. Natural Language Queries (Natural Language → Tool Mapping)

Query	Expected Behavior
"add 25 and 17"	→ add(x=25, y=17)
"25 plus 17"	→ add(x=25, y=17)
"what's 25 + 17"	→ add(x=25, y=17)
"sum of 25 and 17"	→ add(x=25, y=17)
"15% of 200"	→ percentage(number=200, percent=15)
"what is 15 percent of 200"	→ percentage(number=200, percent=15)
"square root of 64"	→ square_root(x=64)
"sqrt(64)"	→ square_root(x=64)

2. Complex Query Handling

For complex queries like

I have $1000, spend $234 on groceries and $156 on gas. How much is left?

Agent breaks down the problem
Calls subtract(1000, 234) → 766
Calls subtract(766, 156) → 610
Responds: "You have $610 left"

3. Error Handling

if y == 0:
    raise ValueError("Cannot divide by zero")

• Provides clear error messages
• Prevents invalid operations
• Errors are automatically sent back to AI agent