vezlo/src-to-kb
🔌 MCP Servervezlo
Transform your source code repositories into intelligent, searchable knowledge bases for AI-powered development workflows.
vezlo/src-to-kb is a specialized Model Context Protocol (MCP) server that streamlines the process of indexing source code for AI consumption. By converting local or remote repositories into structured knowledge bases, it allows LLMs to perform semantic searches across entire codebases with high precision. The tool employs sophisticated chunking strategies to maintain context, ensuring that code relationships and logic are preserved during the embedding process. It integrates seamlessly with OpenAI's embedding models, providing a robust backend for developers who need to query large-scale projects, debug complex dependencies, or generate documentation based on real-time code structure. This tool is essential for teams looking to integrate their proprietary codebases into AI-assisted coding environments, effectively turning static files into a dynamic, queryable knowledge asset.
💡Highlights
- ├─Semantic code-to-embedding pipeline
- ├─Intelligent codebase chunking
- └─Full MCP protocol compatibility
🎯For
- ├─Software Engineers
- └─AI Infrastructure Developers