DZ23 Subagents Universal MCP
Related Servers
Alternatives to DZ23 Subagents Universal MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables multi-model leader-worker agent orchestration, workflow execution, and deterministic validation via structured MCP tools.5 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceA local-first mission control for AI agent harnesses, providing a unified MCP gateway for shared memory, task queue, and encrypted secrets across multiple agents.1 npm1MIT
- AlicenseNot gradedqualityBmaintenanceThe coordination layer for AI agent networks, providing persistent memory, task management, inter-agent messaging, and human oversight through native MCP tools.6 npm1MIT
- AlicenseNot gradedqualityBmaintenanceProvides 300+ MCP tools for orchestrating AI agents — including swarm coordination, self-learning memory, and task management — enabling MCP clients like Claude Code and Cursor to spawn, coordinate, and learn from specialist agents across sessions.17,661 npm1MIT
- FlicenseNot gradedqualityAmaintenanceEnables multiple AI models to collaborate under a shared goal, architecture, plan, loops, sandbox, and acceptance criteria via a local-first MCP server.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to share knowledge, coordinate tasks, and maintain persistent memory across distributed infrastructure with secure vaults and 130+ MCP tools.7MIT
TDQS
Scored across 10 tools
Tools mostly target distinct resources and actions: provider/model inventory, health, memory, delegation, consensus, and swarm execution. However, list_models and discover_models both return model lists and could be confused, and consensus vs swarm_run both orchestrate multiple models/subagents. Descriptions differentiate them, but boundaries are not perfect.
All names use snake_case, but patterns vary: verb_noun (list_models, discover_models), noun_noun (provider_inventory, health_check, mission_status, memory_checkpoint), noun_verb (project_init, swarm_run), and bare verbs/nouns (delegate, consensus). The inconsistency is readable but not predictable.
10 tools is well within the typical 3-15 range for an orchestration server. Each tool covers a distinct capability area: provider/model management, health, project memory, delegation, consensus, and swarms.
Core workflows for provider/model discovery, health, project memory, mission status, delegation, consensus, and swarm execution are present. Missing or unclear operations include aborting/canceling a running delegate/swarm, dynamically adding/removing providers, and richer mission listing, but these are minor for the apparent scope.