Code Sage FAQs

Question 1

How does Code Sage enhance developer productivity?

Accepted Answer

By providing fast, accurate, and context-aware code search directly within MCP clients (e.g., Claude Desktop, Cursor), Code Sage helps developers quickly find relevant code snippets, understand unfamiliar codebases, and maintain focus without leaving their IDE.

Question 2

What is Code Sage?

Accepted Answer

Code Sage is a high-performance, Rust-based MCP (Model Context Protocol) server designed for semantic code search. It intelligently indexes your codebase to provide relevant results using both keyword and semantic analysis, all embedded locally.

Question 3

What types of codebases and languages does Code Sage support?

Accepted Answer

Code Sage offers comprehensive language support, intelligently parsing code across 60+ programming and configuration languages with AST-based chunking. It also features smart file filtering, automatically respecting `.gitignore` rules.

Question 4

Does Code Sage require external databases or cloud services?

Accepted Answer

No, Code Sage is built with zero external dependencies. It utilizes embedded storage (USearch, Tantivy, Sled) and supports local embedding providers like LM Studio and Ollama, keeping your data and processing entirely local and secure.

Question 5

How does Code Sage perform code search and indexing?

Accepted Answer

It uses a hybrid search strategy combining BM25 keyword matching with vector embeddings for semantic relevance, fused by RRF reranking. For indexing, it intelligently chunks code into semantic units using AST for over 60 languages, ensuring accurate context.

Code Sage

About

Key Features

Use Cases