Hi everyone, I’ve been diving deep into how AIs interact with tools and quickly hit a wall with the Model Context Protocol (MCP) . As soon as you build complex, real-world toolsets, MCP becomes inefficient—bloating the context window and killing performance. To solve this, I’ve developed Elemm **( E* very **L andmark **E nables **M assive **M odularity), also known as " The Landmark Manifest Protocol *." 👉 GitHub: Official Repository Check out the docs and the benchmarks on GitHub. What Elemm enables: Custom Tooling : Turn any Python function into a "Landmark" with a single decorator. Instant API Integration : Point to an OpenAPI or GraphQL URL, and your agent navigates it instantly with surgical precision. Seamless Migration : Easily bridge your existing tools into a manifest-driven architecture. The Landmark Advantage Elemm doesn't cram every tool definition into the prompt. Instead, it provides the agent with a dynamic Manifest File for safe, "lazy-loaded" navigation.…