zilliztech

claude-context

AI#Vector Database#Semantic Search#MCP #LLM#Codebase Analysis

// summary

Claude Context is an MCP plugin that enables semantic code search for AI coding agents by indexing your entire codebase into a vector database. It significantly reduces costs and improves retrieval quality by providing only relevant code snippets to the AI instead of entire directories. The tool supports incremental indexing, AST-based code chunking, and integrates seamlessly with various AI assistants and IDEs.

// technical analysis

Claude Context is a Model Context Protocol (MCP) server designed to provide AI coding agents with deep, semantic understanding of large codebases. By utilizing hybrid search (BM25 + dense vector) and AST-based code chunking, it solves the problem of context window limitations and high token costs associated with loading entire repositories into LLMs. The project prioritizes efficiency through incremental indexing using Merkle trees, ensuring that only modified code is re-processed, which significantly optimizes performance and cost for developers working on large-scale projects.

// key highlights

Implements hybrid search combining BM25 and dense vectors to ensure highly relevant code retrieval.

Utilizes AST-based code chunking to maintain logical structure and improve the quality of context provided to AI models.

Supports incremental indexing via Merkle trees, which minimizes redundant processing by only updating changed files.

Reduces token usage by approximately 40% compared to full-context loading, leading to lower costs and better performance.

Integrates seamlessly with various AI coding assistants through the standard Model Context Protocol (MCP).

Offers broad language support including popular languages like TypeScript, Python, Go, Rust, and Java.

// use cases

Semantic code search for AI agents using hybrid BM25 and dense vector retrieval

Cost-effective codebase context management for large projects

Incremental indexing of codebases using Merkle trees for efficient updates

// getting started

To begin, ensure you have Node.js (version 20.x or 22.x) installed and obtain an OpenAI API key along with a Zilliz Cloud vector database endpoint. You can then add the MCP server to your preferred AI agent (such as Claude Code) using the 'claude mcp add' command or by manually updating your client's configuration file with the provided npx command. Once configured, simply run 'Index this codebase' within your agent to start searching your project.