Rust Language

概要

This Model Context Protocol (MCP) server is designed to integrate seamlessly with AI assistants, offering a robust interface to the rich ecosystem of Rust documentation. It leverages both full-text keyword search (using Tantivy with BM25) and semantic search (powered by local ONNX embeddings) to deliver highly relevant results. By combining these methods with Reciprocal Rank Fusion, it ensures developers can efficiently find information, explanations, best practices, and code examples across official sources like The Rust Book, Rust Reference, Rust by Example, and more, directly within their AI-powered development environments.

主な機能

• Automatic cloning and indexing of documentation on first run for quick setup.
• Configurable with popular AI clients like Claude Desktop, Claude Code (CLI), and Cursor.
• 1 GitHub stars
• Hybrid search combining BM25 keyword matching and semantic similarity using local ONNX embeddings.
• Access to multiple official Rust documentation sources including The Rust Book, Rust Reference, and Rust by Example.
• Specialized tools for searching documentation, explaining concepts, retrieving best practices, and showing code examples.

ユースケース

• Enhancing AI assistants with deep knowledge of Rust language and ecosystem for coding assistance.
• Getting contextual explanations and code examples for Rust topics directly within an IDE.
• Quickly finding specific Rust concepts, syntax, and best practices through an AI-powered search.