datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kubectl-mcp-server-tool-call-reasoning-6k
kubectl-mcp-server-tool-call-reasoning-6k
MCP tool-calling SFT 資料集，由 Agent Tools Fine-Tuning Platform 以「反向生成 + teacher solver 驗證」流程產生。
語言：繁體中文
工具（來自 MCP server）：install_helm_chart, upgrade_helm_chart, uninstall_helm_chart, helm_list, helm_status, helm_history, helm_get_values, helm_get_manifest, helm_get_notes, helm_get_hooks, helm_get_all, helm_show_chart, helm_show_values, helm_show_readme, helm_show_crds, helm_show_all, helm_search_repo, helm_search_hub, helm_repo_list… See the full description on the dataset page: https://huggingface.co/datasets/Simon-Liu/kubectl-mcp-server-tool-call-reasoning-6k.mcp-servers-catalog
MCP Servers Catalog
A structured, machine-readable catalog of 2,223 MCP (Model Context Protocol) servers extracted from the curated awesome-mcp-servers list. Covers 49 categories with language, scope, OS, and officiality metadata for each server.
Updated monthly. Last updated: 2026-05.
Dataset Summary
This dataset catalogs what each MCP server is: its name, repository URL, category, description, implementation language, deployment scope (cloud/local), supported… See the full description on the dataset page: https://huggingface.co/datasets/automatelab/mcp-servers-catalog.kubectl-mcp-server-tool-call-reasoning-1k
Kubernetes MCP Function-Calling SFT Dataset
本資料集是一個專為 Kubernetes 操作設計的高品質 Function-Calling 微調資料集，包含 1,500 筆指令與工具呼叫對應樣本，旨在提升大語言模型在 Kubernetes 集群管理與診斷任務中的自動化執行能力。
資料來源與生成方式
本資料集基於 MCP (Model Context Protocol) 定義的 Kubernetes 工具集生成。我們使用 google/gemini-3.1-flash-lite 作為生成模型，針對各類 Kubernetes 運維場景（如網路策略診斷、資源備份、Pod 健康檢查等）進行合成數據建構。
資料集格式嚴格對齊 twinkle-ai/tw-function-call-reasoning-10k 標準，確保模型在執行工具前具備良好的思維鏈（Chain-of-Thought）推理能力。
品質控管與驗證流程… See the full description on the dataset page: https://huggingface.co/datasets/Simon-Liu/kubectl-mcp-server-tool-call-reasoning-1k.mcp-server-catalog
MCP Server Catalog
A comprehensive catalog of 38 Model Context Protocol (MCP) servers for AI agents, covering data access, agent infrastructure, business-to-agent interfaces, compliance, and more.
Overview
This dataset provides a structured catalog of MCP servers that give AI agents access to real-world data and capabilities. Each server follows the MCP standard and can be used with Claude, GPT, and other LLMs that support tool use.
Categories
Category… See the full description on the dataset page: https://huggingface.co/datasets/aiagentkarl/mcp-server-catalog.