Retrieve systems documentation, examples, and specifications to enhance model understanding and accuracy in generating system-specific outputs. Supports the Systems MCP server.
Execute systems model simulations with specified parameters to generate JSON output containing results as a list of dictionaries. Define model specifications and set rounds for iterative analysis.
Check if a base value is valid for number systems by verifying it falls between 2 and 36. This tool helps validate mathematical bases for arithmetic operations.
Retrieve detailed statistics on cache systems, including hit rates, expiry times, storage usage, and performance metrics. Ideal for monitoring effectiveness, debugging issues, understanding patterns, and optimizing cache layers.
Analyze and trace code execution paths with semantic understanding, identifying data flows and dependencies to debug complex distributed systems efficiently.
Enables conversational image generation and editing with Google's Gemini 2.5 Flash Image Preview. Supports text-to-image generation, natural language image editing, multi-image composition, and style transfer with optional file saving.
A Model Context Protocol (MCP) server that allows AI models to safely access and interact with local file systems, enabling reading file contents, listing directories, and retrieving file metadata.
A comprehensive MCP (Model Context Protocol) server for file system operations, providing Claude and other AI assistants with access to local files and directories.