Context-Engine MCP - Agentic Context Compression Suite

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

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

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

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.

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.

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.

LeanCTX — Context Intelligence for AI systems.

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

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.

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

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.

Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).

ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

An implementation of Model Context Protocol (MCP) server for Argo CD.

Model Context Protocol (MCP) Server to connect your AI with any MediaWiki

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

Algorand Local Model Context Protocol (Server & Client)

A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.