"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 tools over MCP stdio that answer typed questions — yes/no, choice, and score — returning calibrated probabilities instead of prose, with offline mock answers by default and explicit egress reporting before any live transmission. Enables agents to obtain structured judgments without generating free text.

Exposes three tools over MCP stdio that answer typed questions — yes/no, choice, and score — with calibrated probabilities instead of prose. Runs entirely offline by default, names every transmission before it happens, and only reaches a live Jev provider when credentials and provider settings are supplied.

Enables MCP hosts to pose typed questions — yes/no, choice, and score — and receive calibrated probabilities instead of prose, over a stdio transport. Runs offline against a synthetic mock by default, with every transmission to a live provider named in a startup egress report.

Enables quantum circuit design and electromagnetic simulation optimization through Qiskit Metal and Octave/OpenEMS. Provides 25+ specialized tools across two integrated MCP servers for designing transmon qubits, analyzing CPW transmission lines, and automating parameter optimization workflows.