agent-skills-hub
Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automated GitHub sync
MCP, the Model Context Protocol, is an open standard for connecting AI assistants to outside tools and data. An MCP server exposes something, such as a database, a browser, a GitHub account or a folder of files, as tools the assistant can call. Clients such as Claude Desktop, Cursor and VS Code load these servers.
Check what a server can reach before you install it. One that can run shell commands or write files has all the power of the account it runs under, so prefer servers that ask for the narrowest access: read-only tokens and a single folder. Also check whether it runs locally over stdio or as a remote service you would have to trust.
Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automated GitHub sync
Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.
Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, Hermes, etc.). Supports Serper, Tavily, and SearXNG.
The missing bridge between your ML models and your AI agents. MCP tools use the same Pydantic input validation and model execution as direct invoke() calls.
An MCP server for Azure DevOps
Master OpenCode, the open-source AI coding agent — setup, agents, skills, plugins, MCP, Zen & headless CI.
The Official MCP package for Dokploy
Cross-Code Organizer (formerly Claude Code Organizer): cross-harness config dashboard for Claude Code, Codex CLI, MCP servers, skills, memories, agents, sessions, security scanning, context budget, and backups.
Azan + Prayer Time + MCP + AI Agents + Islamic + Salah + A lightweight MCP library to calculate prayer times and trigger Azan with a single tool call. If you’re building an AI agent or prayer application, there’s no need to deal with astronomical calculations, timezones, or edge cases again.
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
MCP server that provides LLMs with tools for interacting with EVM networks
Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client Protocol. Run multiple AI coding agents side by side with rich tool visualization, MCP integrations, built-in terminal, git, browser and just about anything else you may need.
Live messaging for coding agents
一个本地优先的AI知识库系统(RAG),用于把本地文档接入辅导搜索与大模型对话流程。目前支持md、txt、pdf(文本)、xlsx、cvs类型。支持mcp服务
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.
Official Python SDK for the Vulners vulnerability-intelligence API — search CVEs, exploits and advisories (CVSS/EPSS/KEV), audit software, Linux/Windows hosts and SBOMs, and stream the whole graph. Typed sync + async clients, 100% v3-compatible, with a built-in MCP server for AI agents.
Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
Local-first AI agents with governed, approval-gated memory. Any model provider; MCP tools and web search built in. Nothing remembered without your say-so, nothing leaves your machine.
Wireshark for MCP. A transparent proxy that shows every real tool call between your AI client and your MCP servers, live in your terminal.
AI-powered modular Active Directory red-team framework for authorized penetration testing, AD enumeration, attack-path analysis, Kerberos/ADCS workflows, reporting, operator automation, and MCP server integration.