"WebRTC" matching MCP servers:

Peer-to-peer WebRTC communication for AI agents, connecting autonomous coding agents over low-latency WebRTC DataChannels with room-based signaling, video stream bridging, and multi-agent coordination — all exposed as MCP tools.

Exposes a sovereign peer-to-peer mesh (WebRTC + BroadcastChannel) to any MCP client over stdio for peer messaging and connection handling.

Enables AI assistants to have voice conversations and screen sharing capabilities via WebRTC, using Pipecat for speech-to-text and text-to-speech.

Enables LLM agents to initiate real-time outbound WebRTC/SIP calls, execute operational actions mid-call, escalate to human operators, and access live call telemetry through MCP, with zero data-at-rest and TTL-bounded memory.