Local Code Search
Locally indexes codebases using ChromaDB to enable semantic code search without sending code to external services, featuring real-time updates through file system watchers and configurable ignore patterns.
About
Local Code Indexing for Cursor provides a Python-based server that locally indexes codebases using ChromaDB and enables semantic code search through the MCP protocol. Built with FastMCP, it watches specified project directories, automatically indexes code files using language-specific parsers, and maintains a vector database of code chunks that can be queried using natural language. The implementation includes Docker containerization for easy deployment, file system watchers for real-time updates, and configurable ignore patterns for directories and files. This tool is particularly valuable for developers who want to perform semantic code search within their projects directly through the Cursor IDE without sending their code to external services.
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