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Coordinate multiple AI agents through a shared message log and session discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-comms" yet — see the docs or source repo.
Use mcp-comms to create a shared session where a research agent, coding agent, and review agent collaborate via directed messages on a feature development task, and show an example message flow for each agent.
A multi-agent collaboration plan with session setup, agent roles, and example message exchanges.
Demonstrate how to use mcp-comms to broadcast the message 'Requirements updated, please re-plan' to all agents, and explain how each agent should read and respond to it.
An example broadcast message plus guidance on how multiple agents receive, acknowledge, and act on it.
Using mcp-comms, explain how a newly joined AI agent can discover available sessions, identify relevant task threads, and join the collaboration flow.
Steps for session discovery and onboarding so a new agent can quickly join an existing collaboration environment.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Coordinate multiple AI agents on software projects with shared tasks and context.
Connect coding agents in a secure network for collaboration and gated execution.
Enable AI agents to message, track presence, and broadcast through a central hub.
Enable AI to read, send, and manage email and SMS naturally.
Coordinate coding agents with mail-style messaging, thread search, and file reservation.