Context Intelligence Layer for all Coding Agents MCP Server

What is Context Intelligence Layer for all Coding Agents?

A local-first context runtime for AI coding agents that compresses file reads and shell output before they reach the LLM, reducing token waste by 60–95% (up to 99% on cached reads). It integrates with any MCP-compatible client across 30+ IDEs and AI tools via a single Rust binary with shell hook and 60+ tools.

How to use Context Intelligence Layer for all Coding Agents?

Install via one of curl -fsSL https://leanctx.com/install.sh | sh, brew install lean-ctx, npm install -g lean-ctx-bin, or cargo install lean-ctx. Run lean-ctx setup to auto-detect your AI tools, then lean-ctx doctor to verify. After setup, restart your shell and editor to activate the MCP server and shell hooks.

Key features of Context Intelligence Layer for all Coding Agents

• Cached, mode-aware file reads (full, map, signatures, diff, …)
• Shell output compression via 95+ patterns (git, npm, cargo, docker, …)
• Multi-edge Property Graph with weighted impact analysis and hybrid search
• PR Context Packs via lean-ctx pack --pr
• Portable context packages (.lctxpkg) with SHA-256 integrity
• Session memory (CCP) persisting task facts across chats
• Streamable HTTP MCP mode (lean-ctx serve)
• Opt-in telemetry; local-first by default

Use cases of Context Intelligence Layer for all Coding Agents

• Daily AI coding sessions with shell-heavy workflows (git, tests, builds)
• Medium-to-large repos or monorepos where context quickly grows expensive
• Multi-agent or team projects needing shared, portable context packages
• Reducing token costs in paid LLM usage during long coding sessions
• Local-first development where data must never leave the machine