Semantic code search & navigation MCP for AI agents and developer efficiency.
Visit SourcererSourcerer is an MCP server for semantic code search and navigation, designed to help AI agents efficiently access and utilize codebases without excessive token consumption. It builds a semantic search index of a code repository, allowing agents to conceptually search for functions, classes, and code chunks and retrieve them instantly, making it ideal for developers integrating AI with large codebases or building advanced developer productivity tools.
Visit Sourcerer's official website for product details and getting started.
Comprehensive API reference and setup guides for Sourcerer.
Community discussions and troubleshooting for Sourcerer users.