Retrieve all File Storage file systems in a specified Oracle Cloud Infrastructure compartment and availability domain to view their state and metadata.
Retrieve systems documentation, examples, and specifications to enhance model understanding and accuracy in generating system-specific outputs. Supports the Systems MCP server.
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.
Extract and analyze full file content or specific line ranges from absolute paths. Enables precise file reading for tasks requiring line number understanding.
Analyze and trace code execution paths with semantic understanding, identifying data flows and dependencies to debug complex distributed systems efficiently.
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.
Provides secure file read and write operations within a sandboxed directory, allowing AI assistants to safely create, modify, and access files without risk of accessing the broader file system.
A comprehensive MCP (Model Context Protocol) server for file system operations, providing Claude and other AI assistants with access to local files and directories.