sdl-mcp: SDL-MCP is a Model Context Protocol (MCP) server that transforms codebases into queryable, versioned knowledge systems for AI agents. It indexes symbols and dependencies into a SQLite-backed ledger, enabling efficient, precise context retrieval, delta analysis, and policy-gated code access.; headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.
Lower token usage for coding agents through structured context.
Reduce LLM token usage and API costs for AI agents.