The definitive directory for the AI agent ecosystem
Search across 50+ directories. Security-scored. Cross-referenced.
lonestar108
AlephNet Node - Semantic computing, social network, and Coherence verification for AI agents
6a01de90-15be-4d9a-9148-debef44f9576
No description available
GitHub Actions
Utilities for building AI nodes in n8n
A collection of prompt examples to be used with the ChatGPT model.
7ac6f18e-2dcd-45db-bfcb-0b3424584848
No description available
cyberdude
Grok API wrapper for Node.js
Erick Friis <[email protected]>
Building applications with LLMs through composability
Adam Fourney <[email protected]>
Utility tool for converting various files to Markdown
Low-downtime hot migration for vLLM inference services, via monkey-patching and a plugin (no vLLM source changes).
HallucC
Agent trajectory hallucination detector — fast tier is pure-stdlib, 0 LLM/0 search. Bilingual (CN+EN) marker lexicon + Chinese multi-domain benchmark.
...morerohow
将当前工作区的插件命令、状态和上下文提供给 AI 工具。支持查看本地 MCP 服务状态、重启服务，并通过 AI Rules 将连接配置写入支持的 AI 客户端。
zyfasos
Local STDIO MCP for publishing a single HTML file to CloudBase
Metehan Kasap
Safe, clone-first Strapi content operations over MCP
seum
Minimal STDIO MCP server for an OpenAI-compatible image endpoint.
GodCC6
Read-only DeepSeek Harness plugin that surfaces Claude Code's project memory, redacted and byte-budgeted
wangyancong
YSS UI 文档 MCP Server：让 coding agent 精准查询组件 API、Demo 源码、Skills 与代码生成规则
Skillful.sh aggregates data from every major directory and registry in the AI agent ecosystem into one searchable directory.
We crawl and sync data from 50+ directories, registries, and package managers across the AI agent ecosystem.
Every tool is security-scored, categorized, and cross-referenced across all sources for comprehensive coverage.
Browse, search, and compare tools with detailed profiles showing directory presence, stats, and security grades.
The building blocks powering the next generation of AI applications
Model Context Protocol (MCP) servers are standardized interfaces that let AI models interact with external tools and data sources -- bridging large language models with file systems, databases, APIs, and web services. Originally developed by Anthropic, MCP has become the dominant protocol for extending AI agent capabilities.
AI skills are modular capabilities that extend AI agents and language models. Unlike MCP servers which follow a specific protocol, skills encompass custom tool definitions, function calling schemas, and plugin architectures across multiple platforms -- giving developers a unified view rather than searching dozens of disconnected registries.
Every indexed tool undergoes automated security analysis covering code quality, dependency vulnerabilities, maintenance frequency, license compliance, and known CVEs. AI agents that execute code or install packages on behalf of users introduce supply-chain risk -- security grades help developers quickly identify trustworthy tools for production use.
A single MCP server might be listed on the official registry, published on npm, hosted on GitHub, and curated in multiple community directories. Skillful.sh aggregates and cross-references tools from 55+ sources into one unified directory with live GitHub stats, package registry downloads, and cross-listing data so you can gauge true ecosystem adoption.
From a few hundred MCP servers at the start of 2025, the ecosystem now includes over 572,324 tools spanning MCP servers, AI skills, and autonomous agents. Skillful.sh tracks this growth in real time with ecosystem statistics, trending tools, and growth charts that show how the landscape is evolving week by week.
Browse thousands of MCP servers, skills, and agents. All in one place.