liuboacean/agent-comm-hub

Overview

A Python-based infrastructure for real-time communication and task scheduling among multiple AI agents, built on the Model Context Protocol (MCP) and Server-Sent Events (SSE). It provides a hub that coordinates agent interactions and message routing.

Best for

Best for
Developers experimenting with multi-agent coordination using MCP and SSE in Python

Use cases

• Orchestrating multi-agent workflows with real-time message passing
• Scheduling and dispatching tasks across distributed agent instances
• Building a central communication bus for MCP-compatible agents

Notes

A Python-based infrastructure for real-time communication and task scheduling among multiple AI agents, built on the Model Context Protocol (MCP) and Server-Sent Events (SSE). It provides a hub that coordinates agent interactions and message routing.

1 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

• Orchestrating multi-agent workflows with real-time message passing
• Scheduling and dispatching tasks across distributed agent instances
• Building a central communication bus for MCP-compatible agents

Pros

• Leverages standard protocols (MCP, SSE) for interoperability
• Lightweight Python implementation suitable for prototyping
• Enables real-time coordination without polling

Cons

• Very early stage with only 1 star and minimal community adoption
• Limited documentation and examples beyond the repository
• Unclear production readiness or scalability characteristics

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.