Schema | MCP Python Server & Client

MCP Python Server & Client

Describes the environment variables required to run the server.

Name	Required	Description
`MCP_SERVER_PORT`	No	Override server port (default: from settings.yaml)
`MCP_LOGGING_LEVEL`	No	Override log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
`MCP_TOOLS_WEATHER_API_KEY`	No	Override weather API key (secrets should use env vars)
`MCP_SECURITY_RATE_LIMIT_PER_MINUTE`	No	Override rate limit per minute

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
calculateA	Perform a mathematical calculation. Args: operation: The math operation (add, subtract, multiply, divide, power, sqrt, modulo) a: The first number b: The second number (not used for sqrt) Returns: The calculation result as a string
string_operationA	Perform a string manipulation operation. Args: operation: The string operation (reverse, count_words, uppercase, lowercase, title_case, count_chars, replace, truncate) text: The input text to operate on extra: Extra parameter (replacement text for 'replace', or max length for 'truncate') Returns: The operation result as a string
get_weatherA	Get current weather or forecast for a city. Args: city: The city name to get weather for forecast_days: Number of days for forecast (0 for current weather only, max 7) Returns: Weather information as a formatted string

Interactive templates invoked by user choice

Name	Description
`code_review`	Generate a code review prompt for AI-assisted review. Args: code: The source code to review language: Programming language (python, javascript, typescript, java, go, rust, etc.) focus_areas: Comma-separated focus areas (security, performance, readability, etc.) Returns: Structured prompt messages for code review
`summarize_text`	Generate a text summarization prompt. Args: text: The text content to summarize max_length: Maximum number of words in the summary (default 200) style: Summarization style (concise, detailed, executive, technical, casual) Returns: Structured prompt messages for summarization

Contextual data attached and managed by the client

Name	Description
`list_files`	List all available files that can be read. Returns: JSON array of available file paths
`system_info`	Get comprehensive system information. Returns: JSON object containing platform, Python, memory, disk, and CPU info
`platform_info`	Get platform and OS information only. Returns: JSON object containing platform details

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