
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Claude Code context engineering & planning system for individual AI development workflows
Self-hosted MCP server for your documentation

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
A menu bar app that keeps a written record of what you worked on.
Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.
An open standard for capturing the WHY in git history
C.O.N.T.EX.T is designed to compress complex, multi-domain conversations into machine-optimized "Carry-Packets." These packets achieve a crystallization point of 0.15 entity/token, ensuring that a receiving model can reconstruct the original context with near-perfect fidelity.
Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encrypted local-first

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
PRD-Led Context Engineering — Memory as Infrastructure. An ontology layer for product teams building products that solve real problems — with AI agents that remember. Gated PRD, typed IDs, markdown knowledge graph, Claude Code skills & hooks.
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.
A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenCode) with built‑in Skills/tools and a desktop GUI to capture, search, and reuse project knowledge across agents and repos.
Model Context Protocol Servers
Specification and documentation for the Model Context Protocol
The official Rust SDK for the Model Context Protocol
The official Python SDK for Model Context Protocol servers and clients
The official TypeScript SDK for Model Context Protocol servers and clients
The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google.
The official PHP SDK for Model Context Protocol servers and clients. Maintained in collaboration with The PHP Foundation.