MCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.
A secure wrapper that launches other MCP servers, replacing environment secrets with placeholders and eliciting them via an encrypted browser form, never exposing secrets to the model or client.