A
licenseB
qualityC
maintenanceEnables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.
30
MIT
OpenMesha
by ANAMIZED
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TDQS
A4.4/5.0
Scored across 9 tools
Disambiguation5/5
Each tool targets a distinct action or resource: agent lifecycle, workflow creation, reporting, capability listing, and payment quoting are clearly separated. The get_cost_ledger, get_audit_log, and get_metrics tools explicitly disambiguate their boundaries in their descriptions.
Naming Consistency4/5
Most tools follow a clear verb_noun pattern such as list_agents, create_agent, run_task, and get_metrics. The outlier is x402_payment_quote, which is a noun-phrase name with no leading verb, creating a minor inconsistency.
Tool Count5/5
Nine tools is a well-scoped count for an agent orchestration and governance server. Each tool addresses a meaningful part of the workflow without feeling redundant or padded.
Completeness4/5
The core lifecycle of creating agents, listing agents, running tasks, and creating workflows is covered, along with cost, audit, and metrics reporting. Missing update/delete/stop agent operations are notable but not critically blocking for the apparent in-process simulation scope.
Maintenance
ActivitySlowing
ResponsivenessNo issues