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Enable AI agents to message, track presence, and broadcast through a central hub.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agent Social MCP" yet — see the docs or source repo.
Using Agent Social MCP, design a multi-agent workflow where a coordinator agent assigns tasks, a research agent gathers information, and a writing agent drafts the output. Explain how each agent uses the Hub to send messages, report presence, and broadcast results when finished.
A clear multi-agent communication workflow describing messaging, presence updates, and result broadcasting.
Design an agent presence monitoring setup with Agent Social MCP that shows online agents, offline agents, and last active time, and explain how the Hub maintains this status information.
A presence monitoring plan describing status fields, update logic, and how the Hub manages them.
Use Agent Social MCP to design a broadcast notification mechanism so that when a key agent finishes a task or the system state changes, a unified notification is sent to all connected agents. Provide suggested message structure and trigger rules.
A broadcast notification design including trigger scenarios, message format, and delivery logic for all agents.
Let AI manage profiles, match intents, and message securely for users.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Enable AI coding agents to exchange messages across machines and sessions.
Coordinate multiple AI agents through a shared message log and session discovery.