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
adyencom
A Model Context Protocol server implementation for Bento
hoxyq
Browser library that registers React inspection and profiling tools with chrome-devtools-mcp
chrome-consulting
MCP-интерфейс Work-IT: задачи, инциденты и управляемое продолжение сессий
MCP facade and audited tools for HarborRAG.
Provider adapters for HarborRAG.
reva-app
MCP server for ReMemory sync folders (stdio)
Mathieu Kessler
MCP tools for the NerdyChefs.ai prompt library
Taihong Yang
Let AI control your notes with a SiYuan MCP server that exposes 14 aggregated tools with action-level routing, including document timeline diff and official plugin tool bridging.
...moreSkillful.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 572,607 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.