Built-in Prompts

analyze_topic

Returns a prompt instructing Claude to produce a deep, structured analysis of any topic.

@mcp.prompt()
def analyze_topic(topic: str) -> str:
    return f"Please do a detailed, structured analysis of the following topic: {topic}"

Parameters

Name	Type	Description
topic	str	Any subject to analyse

Example invocations

Use the analyze_topic prompt for: "The rise of agentic AI systems"
Analyze the topic of "Model Context Protocol" using the MCP prompt
Run analyze_topic on "Zero-knowledge proofs"

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historical_report

Generates a structured history report with introduction, main body, conclusion, and a key-events timeline.

@mcp.prompt()
def historical_report(topic: str, number_of_paragraphs: int = 3) -> str:

Parameters

Name	Type	Default	Description
topic	str	—	Historical subject
number_of_paragraphs	int	3	Main body paragraph count

Example invocations

Use the historical_report prompt for "The Space Race" with 5 paragraphs
Generate a historical report on "The invention of the Internet"
Historical report on "Artificial Intelligence" — 2 paragraphs please

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explain_weather_concept

Explains a meteorological concept in plain language — what it is, how it forms, its effects, and a real-world example.

@mcp.prompt()
def explain_weather_concept(concept: str) -> str:

Parameters

Name	Type	Description
concept	str	Weather or meteorological concept

Example invocations

Explain the weather concept "La Niña" using the MCP prompt
Use explain_weather_concept for "polar vortex"
What is a "derecho"? Use the weather concept prompt.