A local, read-only MCP server that provides AI coding agents with structural evidence about a repository, including dependency analysis and impact assessment, while naming the boundary of every answer without any LLM calls.
A read-only MCP server that gives coding agents structured, read-only access to sibling repositories, ensuring security by design with zero write tools.
A read-only MCP server for code reading with intelligent caching, line-range selection, and language detection, enabling AI assistants to efficiently and safely explore file systems.
An MCP server that indexes reference repositories and provides tools for AI coding agents to retrieve lossless code context, enabling reasoning over codebases larger than the agent's context window.
MCP server that helps AI coding agents understand a repository by providing lightweight tree/map, code search, and token-budgeted context packing tools without dumping the entire monorepo into the prompt.