An MCP server and CLI tool that transforms codebases into AI-ready context through semantic search, call graph analysis, and incremental indexing. It enables AI assistants to perform hybrid vector and keyword searches to understand complex repository structures and cross-file relationships.
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Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
When Vitest UI server is listening, arbitrary file can be read and executed
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
process.env. You'll be asked to provide them before it can run.CHUNK_OVERLAP— Overlap between chunks 200CHUNK_SIZE— Characters per chunk 1000EMBEDDING_BATCH_SIZE— Batch size for embedding 10EMBEDDING_DIMENSIONS— Vector dimensions 768EMBEDDING_MODEL— Model for embeddings nomic-embed-textENRICHMENT_CROSS_FILEENRICHMENT_MAX_IMPORTSENRICHMENT_MAX_SYMBOLS_PER_IMPORTLOG_LEVEL— Log verbosity infoOLLAMA_BASE_URL— Ollama API endpoint http://localhost:11434[](https://m8ven.ai/mcp/kvnpetit-structured-repo-context-mcp-1ku2j2)