MCP server that provides coding agents with structured repository context, including graph-based navigation, dependency analysis, runtime flow tracing, and configuration surface across supported stacks.
MCP server for Agent Context OS that compiles engineering docs into a knowledge graph, detects code drift, and serves token-budgeted context packs to AI coding agents via MCP.
MCP server that enables coding agents to retrieve project context, semantically search indexed documentation, and read specific documents from registered repositories.
Local-first MCP server that turns project documentation and source code into durable, evidence-backed context for AI agents, with bounded retrieval and explicit gap reporting.
A local-first MCP server that lets AI assistants search and retrieve context from indexed projects, Git state, decisions, and tasks without sending data to the cloud.