Agent-MQ
Related Servers
Alternatives to Agent-MQ
- AlicenseAqualityCmaintenanceReal-time push notifications and alert sounds free you from staring at the screen. While the AI works, you can comfortably enjoy a cup of coffee.110 npm9TypeScriptMIT
Related Servers
- AlicenseNot gradedqualityDmaintenanceA local MCP server that connects AI coding agents (Claude Code, Codex, Cursor, etc.) on the same machine via a shared message bus, enabling them to chat, delegate tasks, and collaborate privately without cloud or internet.54 npm18MIT
- AlicenseNot gradedqualityAmaintenanceAn MCP task broker that enables Claude and Codex/ChatGPT agents to delegate tasks to each other, with persistent queues, worker adapters, and security controls.1MIT
- AlicenseAqualityDmaintenanceMCP server for inter-agent communication. Gives multiple Claude Code sessions a shared message board, agent registry, and orchestration layer — backed by a cloud relay so agents can coordinate across machines, repos, and teams.845 npmMIT
- AlicenseNot gradedqualityDmaintenanceMCP server for async messaging between AI coding agents, enabling cross-harness and cross-machine communication with Slack-like semantics and mail-shaped delivery.2MIT
- AlicenseAqualityBmaintenanceSelf-hosted MCP + REST continuity hub for coding agents. Tracks unfinished work, progress, overlap, reminders, and project context across Cursor, Codex, Claude Code, and other MCP clients.74204MIT
- FlicenseNot gradedqualityCmaintenanceBearier MCP lets two desktop AI agents collaborate asynchronously through a shared local task queue — no API keys, no IDE, no cloud. Just one SQLite file bridging agents that otherwise can't talk to each other.1-
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose with no ambiguity: mq_add adds agents, mq_history views history, mq_login handles authentication, mq_logout disconnects, mq_ls lists agents, mq_recv consumes messages, and mq_send sends messages. The actions and targets are well-defined and non-overlapping.
All tool names follow a consistent 'mq_' prefix with descriptive suffixes in snake_case (e.g., mq_add, mq_history, mq_login). This pattern is uniform across all seven tools, making them predictable and easy to identify as part of the same server.
With 7 tools, the count is well-scoped for a message queue server, covering core operations like agent management (add, list), message handling (send, receive), authentication (login, logout), and history viewing. Each tool earns its place without redundancy or bloat.
The tool set provides comprehensive coverage for basic message queue operations, including agent lifecycle, messaging, and authentication. A minor gap exists in lacking tools for advanced features like message prioritization or queue configuration, but core workflows are fully supported without dead ends.