Context-Engine MCP - Agentic Context Compression Suite

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

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

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.

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

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

A context engine that treats skills as software.

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

Compiles AI agent traces and truns them into reusable context.

Memory and context manager just works.

Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with semantic search.

A curated list of excellent Model Context Protocol (MCP) servers.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

A SEC EDGAR MCP (Model Context Protocol) Server

Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables

Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode