Crate Public API
N/A
About
Enable language models to access Rust crate APIs by showcasing project dependencies and producing documentation for selected crates through cargo's resolution mechanism and rustdoc JSON creation.
Enable language models to access Rust crate APIs by showcasing project dependencies and producing documentation for selected crates through cargo's resolution mechanism and rustdoc JSON creation.
Discover an advanced approach to managing Rust crate documentation through seamless integration with LlamaIndex's HTML reader. Benefit from smart file selection algorithms, eliminating duplicates, and enjoy flexible parsing options for in-depth analysis.
Explore Rust documentation seamlessly on docs.rs with seamless integration, allowing for convenient search, access to crates, retrieval of documentation, type details, feature flags, versions, and source code for your Rust initiatives.
Efficiently fetches and transforms Rust crate details sourced from docs.rs and crates.io, facilitating quick access to library insights for developers engaging in code creation and technical support endeavors.
Explore Rust crate documentation effortlessly by accessing data from docs.rs via parsing rustdoc JSON information. Benefit from caching capabilities for seamless navigation through modules, structs, enums, traits, and functions within the codebase.
Discover a comprehensive resource hub for AI applications, offering easily accessible Rust documentation, coding templates, and troubleshooting answers. Accessible via a TypeScript server, this platform aggregates and organizes content from docs.rs, GitHub, and various community outlets.
Transforming publicly available API documentation from a software library into a user-friendly format compatible with Language Model Marketplaces (LLMs).
Enhance your Rust documentation process with streamlined tools designed to create, organize, and locate crate documentation efficiently using cargo doc commands. Benefit from advanced features such as caching mechanisms and robust error management.
Discover comprehensive Rust crate documentation through the Model Context Protocol (MCP), offering crucial insights for enhancing Rust programming projects.
Enhance your Rust development projects by seamlessly connecting with Rust Analyzer through the Model Context Protocol (MCP). Access valuable features like type information, documentation, references, implementations, and streamlined Cargo commands.