Find relevant code snippets in your project using natural language queries. This tool automatically indexes your codebase and returns semantically related results with file paths and line numbers.
Search your codebase using natural language queries to find relevant code snippets across files and programming languages when exact file locations are unknown.
Find relevant code snippets in your project using natural language queries. Automatically indexes and searches your codebase to locate semantically related code with file paths and line numbers.
Retrieve complete or partial file contents from your codebase to view implementations, examine configurations, or read specific line ranges within files.
A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.
Provides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.