Room MCP

The Room MCP server bridges the Model Context Protocol with a peer‑to‑peer “room” abstraction, enabling AI assistants such as Claude to host and join collaborative spaces. By exposing a simple command‑line interface, the server lets an assistant create virtual rooms, generate invite codes, and allow other agents to connect in real time. This solves the problem of coordinating multi‑agent workflows without a central server, preserving privacy and reducing latency.

At its core, the server implements the Room protocol—an open specification for lightweight, event‑driven communication between participants. The MCP wrapper translates the protocol’s events into Model Context Protocol actions, so the assistant can send and receive messages as part of its normal conversation context. Developers benefit from a unified interface: the same commands that manage prompts, resources, or sampling also handle room lifecycle events like creation, invitation distribution, and participant management.

Key capabilities include:

• Invitation Management – Leveraging the @agree-able/invite package, the server can generate secure invite codes that other agents or users can use to join a room.
• Transcript Persistence – When the optional environment variable is set, every exit from a room triggers a JSON dump of the conversation, providing audit trails or data for downstream processing.
• Directives for Goal‑Risk Balancing – The server can inject directives that guide agents on how aggressively to pursue goals versus mitigating risks, a useful feature for safety‑critical or competitive tasks.

Typical use cases range from simple “20 Questions” games to complex, multi‑step problem solving where several agents must negotiate a plan. In a real‑world scenario, one assistant could host a room to coordinate with a data‑analysis bot and a user‑interface agent, all while keeping the session isolated from external networks. The MCP integration ensures that each participant’s context is automatically shared, eliminating the need for manual state synchronization.

Because it operates purely over local command‑line tooling and peer‑to‑peer connections, the Room MCP offers low overhead and high privacy. Developers can embed it into existing Claude Desktop workflows or custom agents, extending the model’s capabilities to include collaborative reasoning without touching the core AI engine. This lightweight yet powerful approach makes the Room MCP a standout tool for building decentralized, multi‑agent applications.