Mcp Zmq
Bridge ZeroMQ messaging into MCP so agents can publish, subscribe, or debug distributed workers while you build event-driven backends.
Overview
io.github.daedalus/mcp-zmq is a MCP server for the Build phase that connects ZeroMQ messaging to AI coding agents via stdio.
What is this MCP server?
- MCP server for ZMQ messaging patterns
- PyPI mcp-zmq v0.1.0 with stdio transport
- Supports agent-driven debugging of pub/sub and request/reply flows
- Fits microservices and agent pipelines using ZeroMQ
- Server version 0.1.0
- PyPI identifier mcp-zmq
What problem does it solve?
Builders debugging ZMQ topologies repeatedly context-switch between code, socket scripts, and chat without unified agent access.
Who is it for?
Indie devs building event-driven or multi-process systems who already use ZeroMQ and want agent-assisted socket workflows.
Skip if: Teams standardizing on Kafka, RabbitMQ, or managed cloud queues without any ZMQ footprint.
What do I get? / Deliverables
Once registered, your agent can operate ZMQ-oriented MCP tools while you implement and tune backend messaging.
- Agent-callable ZMQ messaging tools
- Faster iteration on socket-based backends
- Documented messaging tests driven from the IDE
Recommended MCP Servers
Journey fit
How it compares
ZeroMQ MCP bridge, not a hosted queue SaaS or generic REST client skill.
Common Questions / FAQ
Who is io.github.daedalus/mcp-zmq for?
Solo builders and small teams using ZeroMQ in backends who want MCP-connected agents to help with messaging tasks.
When should I use io.github.daedalus/mcp-zmq?
Use it during Build/backend when prototyping pub/sub, pipeline workers, or debugging ZMQ endpoints alongside your code.
How do I add io.github.daedalus/mcp-zmq to my agent?
Install mcp-zmq from PyPI, configure stdio MCP in your agent, and point endpoints to your ZMQ binds and connects per the repo.