MEAH (Multi External Agent Harness)
Related Servers
Alternatives to MEAH (Multi External Agent Harness)
No user-submitted related servers found.
Related Servers
- 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.18,157 npm1MIT
- AlicenseAqualityDmaintenanceEnables Claude to orchestrate tasks across 27 AI providers, run multi-agent plans, and conduct multi-model councils for decision-making.15108 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables Claude Code to delegate work to persistent oh-my-pi (omp) subagents via an MCP server with 7 tools (spawn, send, output, status, list, stop, prune), wrapping omp RPC mode with enforcement hooks for descriptive agent naming, model configuration, denylists, write-scope ownership, and cooperative locking.-
- AlicenseBqualityDmaintenanceEnables Claude to coordinate multiple specialized AI agents by creating tasks, tracking their complete thought process and execution in real-time, and monitoring progress across parallel workflows with full transparency.189 npm2MIT
- AlicenseNot gradedqualityDmaintenanceEnables multi-model leader-worker agent orchestration, workflow execution, and deterministic validation via structured MCP tools.7 npmApache 2.0
- AlicenseAqualityBmaintenanceEnables collaboration across Claude, GPT, and Gemini through a unified MCP interface, with configurable execution policies for synthesizing or directly delivering worker outputs.6Apache 2.0
TDQS
Scored across 8 tools
Tools are mostly distinct: list_models vs list_agents, get_agent vs cancel_agent, and parallel_agents are clearly separated. However, meah_run_agent and meah_delegate_task both start 'one isolated external worker' and differ mainly in async vs sync behavior, which could initially confuse selection. Descriptions do clarify the distinction, so overlap is minor.
Almost all names follow a consistent meah_verb_noun pattern: list_models, get_agent, run_agent, delegate_task, list_agents, cancel_agent, cleanup_workspace. The outlier is meah_parallel_agents, which uses an adjective_noun form instead of a verb. This is a minor deviation in an otherwise predictable scheme.
Eight tools are well-scoped for an external agent harness, covering discovery, execution (sync, async, parallel), monitoring, cancellation, and workspace cleanup. No tool feels redundant or missing from a count perspective. The set is appropriately sized.
The surface covers the full worker lifecycle: listing models, running agents (single/parallel), polling state, listing agents, cancelling, and cleaning workspaces. A minor gap is the lack of tools to modify provider/model configuration or role routing defaults, which are only readable. This is a small omission agents can likely work around via external configuration.