Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Self-hosted MCP server for your documentation

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

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

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.

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.

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

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

Plane's Official Model Context Protocol Server 🔌 ⌨️ 🔥

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

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

Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.

A Model Context Protocol (MCP) server for Zammad integration, enabling AI assistants to interact with tickets, users, and organizations.

A Model Context Protocol server for converting almost anything to Markdown

A MCP (Model Context Protocol) server for interacting with dbt.

Model Context Protocol (MCP) server for the Webflow Data API.

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

Git-backed control plane for AI-agent skills, tools, context, permissions, and identity. Self-hosted and MCP-native.

Lightweight Model Context Protocol (MCP) server for the Zotero API, in Python