AgentKit
Related Servers
Alternatives to AgentKit
No user-submitted related servers found.
Related Servers
- FlicenseAqualityCmaintenanceEnables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.12-
- AlicenseNot gradedqualityDmaintenanceProvides unified AI agent observability including tracing, cost tracking, performance monitoring, anomaly detection, and audit trails via MCP.31 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to investigate production incidents by exposing service health, logs, and deployment data through MCP tools.4 npm-
- AlicenseBqualityBmaintenanceExposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.11MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.Apache 2.0
- AlicenseAqualityFmaintenanceProvides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.22MIT
TDQS
Scored across 9 tools
Each tool targets a distinct resource and action: raw KPI queries, health indices, anomaly detection, forecasting, metric discovery, executive summaries, and annotation CRUD. There is no meaningful overlap between query_kpis, get_company_health, and get_executive_summary because they return different levels of aggregation.
All tool names follow a clear verb_noun snake_case pattern: query, get, detect, forecast, list, annotate, retract. The naming style is uniform and predictable, with only trivial variation between query, get, and list as read verbs.
Nine tools is a well-scoped size for a KPI analytics and annotation server. Each tool has a clear purpose, and there is no redundancy or bloat.
The tool surface covers metric discovery, retrieval, anomaly detection, forecasting, health summaries, and the full annotation lifecycle of create, read, and soft-delete. There are no obvious dead ends; even the destructive retract action has a preview and approval path.