cursor-local-indexing
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Local Code Indexing for Cursor is an experimental Python-based server that indexes codebases locally using ChromaDB and provides a semantic search tool via an MCP server for tools like Cursor.
Local Code Indexing for Cursor is designed to enhance the development experience by providing a local semantic search capability for codebases. By leveraging ChromaDB, this server indexes codebases locally, allowing developers to perform efficient and context-aware searches within their projects. The server operates as a Model Context Protocol (MCP) server, making it compatible with tools like Cursor. This setup ensures that developers can quickly find relevant code snippets and understand code functionality without relying on external search tools. The server is easy to set up and configure, requiring minimal changes to existing development environments. Once configured, it integrates seamlessly with Cursor, enabling developers to perform semantic searches directly from their IDE.
Features
- Local Indexing: Indexes codebases locally using ChromaDB for efficient search.
- Semantic Search: Provides context-aware search capabilities within codebases.
- MCP Server: Operates as a Model Context Protocol server for integration with tools like Cursor.
- Easy Setup: Simple configuration process with minimal changes to existing environments.
- IDE Integration: Seamlessly integrates with Cursor for in-IDE search functionality.
