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.
Enables coding agents to retrieve token-budgeted, source-hashed code context from explicitly registered local repositories via read-only MCP tools, reducing broad repository crawling while providing structure, symbols, and impact slices.
Enables AI coding agents to retrieve focused, bounded repository context locally and read-only, reducing token usage while never modifying the repository or executing its code.
Enables coding agents to inspect files, search text, compare directories, read symbols, and apply structured edits against large codebases through bounded, local-first MCP tools.