Firewall-friendly messaging for AI agents: MCP server that turns one Azure Storage account into an addressed multi-agent message bus. Pull-only, zero inbound ports.
Firewall-friendly messaging for AI agents. One Azure Storage account becomes an addressed, multi-agent message bus — pull-only, zero inbound ports, zero servers to host, costs pennies.
You have AI agents on machines you cannot open ports on — dev boxes at different customers, VMs in different networks, laptops behind NAT. They need to delegate work to each other and talk back. Web hooks, tunnels and hosted brokers are all non-starters in locked-down environments. The move: don't connect the machines at all. Every agent polls its own inbox queue over outbound HTTPS; an envelope contract gives you addressing, replies and multi-turn conversations. This repo is that idea as a production-ready MCP (Model Context Protocol) server in C / .NET 8 — usable from Claude Code or any MCP client.
Every agent has a name and its own inbox queue (inbox-, created automatically). Messages are addressed envelopes, so N agents can talk to each other and replies always know where to go:
Multi-turn conversations are supported: a worker can send a question back mid-task, the orchestrator answers with info in the same conversationId, then the result arrives — all through the same two tools.
Built on the official ModelContextProtocol C SDK and Azure.Storage.Queues.
Then, in Claude Code on the orchestrator machine:
"Send a task to worker-a: analyse X and report back." → sendtask
"Check the inbox." → getmessages → work → sendresult → ackmessage
From the project README.
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