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.
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.

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.
MCP server for persistent context management in AI coding assistants

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.
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
Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables
The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants
Let LLMs control embedded devices via the Model Context Protocol.
XCode CLI MCP: Convenience wrapper for Xcode CLI tools & iOS Simulator. Progressive disclosure of tool responses to reduce context usage. Use --mini param for build-only with tiny context footprint.
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)