datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
test-mcp-logs(Put queries first as heuristics don't detect when there are no logs)
mcp-servers
MCP SERVER Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at MCP Servers Directory, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc.
The dataset is helpful for AI… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/mcp-servers.mcp-server-bench-gradio-optimized
🔬 Gradio vs FastMCP Benchmark Report
Generated: 2026-03-02T13:04:10.857215
Total scenarios: 48
Executive Summary
echo: Fastmcp wins (96.6 vs 176.5 RPS, 1.83x difference)
Gradio best config: concurrency_limit=nan
fibonacci: Fastmcp wins (43.5 vs 57.1 RPS, 1.31x difference)
Gradio best config: concurrency_limit=nan
async_sleep: Gradio wins (93.1 vs 80.2 RPS, 1.16x difference)
Gradio best config: concurrency_limit=nan
payload_echo: Fastmcp wins (82.5 vs 164.8 RPS… See the full description on the dataset page: https://huggingface.co/datasets/kshitijthakkar/mcp-server-bench-gradio-optimized.mcp-server-bench
🔬 Gradio vs FastMCP Benchmark Report
Generated: 2026-02-28T05:20:52.935313
Total scenarios: 360
Executive Summary
echo: Fastmcp wins (48.2 vs 192.8 RPS, 4.0x difference)
Gradio best config: concurrency_limit=10.0
fibonacci: Fastmcp wins (36.2 vs 58.3 RPS, 1.61x difference)
Gradio best config: concurrency_limit=5.0
json_transform: Fastmcp wins (50.8 vs 174.8 RPS, 3.44x difference)
Gradio best config: concurrency_limit=nan
async_sleep: Fastmcp wins (59.6 vs 99.2 RPS… See the full description on the dataset page: https://huggingface.co/datasets/kshitijthakkar/mcp-server-bench.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-server-resource-benchmark
MCP Server Resource Benchmark: RAM, Startup, Tool Counts
Measured resident memory, startup time and tool counts for 11 popular MCP servers, plus a concurrent five-server stack.
Results
178-422MB resident per server (median 188MB)
0.5-1.9 seconds warm startup
961.6MB for a concurrent five-server stack, cross-checked by two independent measurement paths (psutil and PowerShell WorkingSet64) that agreed exactly
Runtime floors for context: 52MB bare Node, 15MB bare… See the full description on the dataset page: https://huggingface.co/datasets/iBlessi/mcp-server-resource-benchmark.mcp-server-bench-gradio
🔬 Gradio vs FastMCP Benchmark Report
Generated: 2026-03-04T10:26:47.242725
Total scenarios: 12
Executive Summary
echo: Gradio wins (151.4 vs 126.2 RPS, 1.2x difference)
Gradio best config: concurrency_limit=1.0
async_sleep: Gradio wins (126.6 vs 43.9 RPS, 2.88x difference)
Gradio best config: concurrency_limit=1.0
Throughput (Requests/Second)
('fastmcp', 'mcp_streamable')
('gradio', 'mcp_streamable')
('async_sleep', 1)
17.54
16.57… See the full description on the dataset page: https://huggingface.co/datasets/kshitijthakkar/mcp-server-bench-gradio.mcp-server-bench-gradio-optimized-full-bench
🔬 Gradio vs FastMCP Benchmark Report
Generated: 2026-03-02T21:04:48.460108
Total scenarios: 337
Executive Summary
echo: Fastmcp wins (100.9 vs 189.9 RPS, 1.88x difference)
Gradio best config: concurrency_limit=1.0
fibonacci: Fastmcp wins (45.5 vs 55.0 RPS, 1.21x difference)
Gradio best config: concurrency_limit=nan
json_transform: Fastmcp wins (94.5 vs 165.4 RPS, 1.75x difference)
Gradio best config: concurrency_limit=5.0
async_sleep: Fastmcp wins (94.0 vs 104.3… See the full description on the dataset page: https://huggingface.co/datasets/kshitijthakkar/mcp-server-bench-gradio-optimized-full-bench.deepfabric-github-mcp-server
deepfabric-github-mcp-server
Dataset generated with DeepFabric.
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-grades
MCP Queen: Live Grades of the MCP Ecosystem
Deterministic operational grades for every remote server in the official
Model Context Protocol registry, from continuous live probes by
MCP Queen, the trust layer for the MCP ecosystem.
9,326 remote servers graded from 43,320+ live probes (July 2026
snapshot). Each row is a server's latest probe result.
Columns
column
meaning
server_name
reverse-DNS registry name (e.g. com.healthai/clarity)
title
display… See the full description on the dataset page: https://huggingface.co/datasets/healthai-hq/mcp-server-grades.test_mcp_server_datamcp-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.