Developer-first token compression layer for llm optimization
Skip weeks of custom work by starting from a working token compression foundation.
The Model Context Protocol is how an assistant reaches your data and tools without a bespoke integration each time. Registries now index tens of thousands of servers, which moves the hard part from writing one to choosing which are worth trusting.
MCP won the integration argument faster than anyone expected: it is now the default way tools describe themselves to a model, and the registries have grown past the point where browsing them is useful. Volume stopped being the problem in 2026 — trust did.
The entries below are the ones that survived a read: what the server actually exposes, where its permissions end, and what you could build if you treated it as a component rather than a demo. Small, sharply scoped servers are the ones that get adopted; general-purpose ones with wide filesystem access are the ones that get removed after the first incident.
12 analysed projects match this topic.
Skip weeks of custom work by starting from a working token compression foundation.
Skip weeks of custom work by starting from a working zig foundation.
Skip weeks of custom work by starting from a working typescript foundation.
Skip weeks of custom work by starting from a working mcp server foundation.
Skip weeks of custom work by starting from a working ai agents foundation.
Skip weeks of custom work by starting from a working codebase intelligence foundation.
Skip weeks of custom work by starting from a working mcp tools foundation.
Skip weeks of custom work by starting from a working mcp server foundation.
Skip weeks of custom work by starting from a working mcp server foundation.
Skip weeks of custom work by starting from a working ai agents foundation.
Skip weeks of custom work by starting from a working rag foundation.
Skip weeks of custom work by starting from a working token reduction foundation.
Updated: 2026-08-17