"Transmission" matching MCP servers:

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

Exposes three stdio tools that ask typed judgment questions — yes/no, choice, and score — and return calibrated probabilities instead of prose, over any MCP-speaking host. Runs on an offline mock by default, with every network transmission named before it happens and credential-gated live routes to TypeSafe or OpenRouter.