KappaML MCP Serverofficial
F
licenseNot graded
qualityD
maintenanceExposes the KappaML API as tools for AI assistants, enabling user management, model operations, predictions, learning, forecasting, metrics, and checkpoint management.
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sylvia-iot-mcp
by woofdogtw
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TDQS
B3.2/5.0
Scored across 66 tools
Disambiguation5/5
Each tool targets a distinct resource-action pair, such as user, client, unit, application, network, device, routes, buffers, and data records. Even with 66 tools, the resource prefix clearly separates concerns and prevents misselection.
Naming Consistency4/5
Tool names consistently follow a snake_case resource_action pattern (e.g., client_create, device_list, network_route_delete). A few outliers like auth_tokeninfo and data_coremgr_opdata_list are slightly less verb-driven but remain predictable within their context.
Tool Count2/5
66 tools is far above the typical well-scoped range and will burden an agent with a large surface to navigate. While the platform covers many entities, the count is excessive and could likely be consolidated.
Completeness4/5
The toolset provides thorough CRUD coverage across users, clients, units, applications, networks, devices, routes, and data buffers, plus logging and data queries. Minor gaps exist, such as no network_route_get or update operation, but these are not critical to core workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues