An MCP server that indexes codebases into a local graph and provides on-demand context retrieval for AI coding agents, reducing token usage by tracking session history and delivering only relevant code subgraphs.
Local-first MCP server that provides project context, verification gates, and structured tools for coding agents to discover knowledge, run diagnostics, and execute allowlisted commands within a repository.
A local MCP server for AI coding agents that builds a queryable knowledge graph of files and symbols, enforces edit scope before file writes, and records append-only reasoning logs to explain changes.
Smart MCP server that reads your code, understands file connections, and provides precise context to AI coding assistants, reducing token usage and preventing errors from outdated or irrelevant files.
A local-first MCP server that gives AI coding agents durable project memory, dependency graphs, and impact analysis to answer team knowledge and cross-file change questions before editing.
An MCP server that enables AI agents to navigate and understand codebases through file descriptions, semantic search, and code recommendations without repeatedly scanning files.
