Is Search local and private?

Yes, Search performs 100% local, private semantic searches of your codebase. Your code never leaves your computer; no cloud, API keys, or accounts are required.

How does Search enhance my AI assistant's capabilities?

Search allows your AI to automatically find relevant code snippets semantically, providing precise context. This drastically reduces token usage, prevents 'context limit exceeded' errors, and makes your AI far more accurate.

What AI assistants are compatible with Search?

Search seamlessly integrates with popular AI assistants like Claude Desktop, Claude Code, Cursor, Windsurf, and Antigravity, enabling them to search your code.

Is Search easy to set up and maintain?

Absolutely. It requires no setup, API keys, or cloud dependencies. Install with a simple `npx` command, and it automatically updates its index when you save files.

What kind of codebases can Search handle?

Search is highly efficient, tested on projects with 1000+ files. It supports any text-based code or documentation, understanding concepts across all programming languages.

Search

Name: Search
Author: blakazulu

byblakazulu

•

開発者ツール

生産性とワークフロー

Enables AI assistants to semantically search your local codebase for relevant information, enhancing their understanding and response accuracy.

Search

byblakazulu

•

開発者ツール

生産性とワークフロー

Enables AI assistants to semantically search your local codebase for relevant information, enhancing their understanding and response accuracy.

Transform your AI assistant into a powerful code expert with this local-first Model Context Protocol (MCP) server. It provides semantic search capabilities for your entire codebase, allowing AI to automatically find and understand relevant code, documentation, and project context without manual copy-pasting. Operate entirely offline, ensuring privacy, eliminating context limits, and making your AI significantly more efficient in understanding your development projects.

主な機能

013 GitHub stars

02100% local and private semantic search for codebases.

03Automatic index updates upon file saves for always current context.

04No setup, API keys, accounts, or cloud dependencies required.

05Built-in security protections against sensitive data exposure and attacks.

06Optional GPU acceleration on supported platforms for faster indexing.

ユースケース

01Enabling AI assistants to answer complex code-related questions by automatically searching the codebase.

02Quickly finding specific code files or documentation segments based on natural language queries.

03Integrating semantic search into CI/CD pipelines or debugging workflows for automated code analysis.