Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Self-hosted MCP server for your documentation

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

A menu bar app that keeps a written record of what you worked on.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

MCP server to provide Figma layout information to AI coding agents like Cursor

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.

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.

A comprehensive Model Context Protocol (MCP) server that bridges Figma designs with AI development workflows. It provides 30 specialized tools for extracting pixel-perfect code, assets, and component structures directly from Figma designs.

Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encrypted local-first

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.

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

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.

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

A community driven registry service for Model Context Protocol (MCP) servers.

The official Rust SDK for the Model Context Protocol

The official Python SDK for Model Context Protocol servers and clients

The official Ruby SDK for the Model Context Protocol servers and clients.

The official TypeScript SDK for Model Context Protocol servers and clients