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
Erick Friis <[email protected]>
Building applications with LLMs through composability
Adam Fourney <[email protected]>
Utility tool for converting various files to Markdown
GitHub Actions
A high-level API to automate web browsers
Numeratica / Francis Townsend-Merino
Thin stdio MCP bridge to the Numeratica financial-planning API — add retirement, tax, and planning tools to any MCP client with npx.
...moreApplogico LLC
MCP server that lets AI agents send Blipr push alerts to your phone — your agent can page you.
borisno2
File and image upload field types with pluggable storage providers for OpenSaas Stack
borisno2
Vercel Blob storage provider for OpenSaas Stack file uploads
borisno2
AWS S3 storage provider for OpenSaas Stack file uploads
AI-powered CLI that explains programming errors using a persistent cache and LLMs.
Standalone MCP plugin for deploying Docker apps to AWS EC2
DataTalesByAgos
MCP server that wraps the GitLab Duo CLI as a clean, fault-tolerant duo_review tool for AI coding agents.
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 449,370 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.