Custom Linear MCP Server with optimized GraphQL queries for AI context efficiency.

AI context window cost analysis - detect fragmented code, deep import chains, and expensive context budgets

A CLI to scaffold the .brain AI context system into any project.

AI context guardrail CLI — dependency-aware architecture safety for AI-assisted development

MCP server for Contextium — pipe team SOPs, coding standards, and AI context directly into Claude, Cursor, and other AI coding assistants

Local-first personal AI Context Hub — bring your own agent, keep your context

ai-context command-line interface.

Model Context Protocol integration for AI Context

Domain, application, and infrastructure for ai-context.

Extract coding conventions and generate AI context files (CLAUDE.md, AGENTS.md, Cursor rules, Copilot instructions) with semantic drift detection

Model Context Protocol Server for AI-Context-Sync-MCP

Read-only MCP server that exposes a LuckyStack project's committed AI context (decisions, dependency graph, routes, runbooks, capabilities) to Claude Code as queryable tools.

A high-performance, AST-powered dependency graph generator for frontend projects, optimized for AI context and smart test selection.

Initialize and manage the anchor.md AI context management system in your project root.

Token budget analyzer for AI context windows — like du for tokens

Studio AI platform CLI — query project types, config units, and document content for AI context

AI context snippets for BlockSlides (v1 atoms, examples, schemas, types)

Semantic duplicate pattern detection for AI-generated code - finds similar implementations that waste AI context tokens

A portable, long-term agentic memory MCP server — a thumb drive for your AI context.

Mobile-first AI context engine for Claude Code, Cursor, Gemini CLI, and Antigravity. Production-aware Flutter support with growing React Native, Expo, Android, and iOS scanning.