MCP Server Registry

Score any AI agent before you use it. Score your own before you release it. Checks 5 trust dimensions — schema quality, reliability, docs, ecosystem, maintenance — and returns a 0-100 grade with prioritized fixes.

Agents-flex is A Lightweight Java AI Application Development Framework.

Call get_quote, then buy_kit (49 USDC Base x402). Humans keep #pay.

Isolated Linux desktop workspaces for AI agents — MCP server binary wrapper.

Smart contract security for AI agents with verify, monitor, freeze, and x402 payment tools.

Runtime gateway for detecting prompt injection and jailbreak attempts in LLM agents.

MCP server for AgentSignal — let an agent notify a human, or ask one and wait.

AgentSIM MCP server — OTP session tools for AI agents

Aprendendo como agentes de IA funcionam de verdade.

Skills for AI Agents to leverage

Open-Source Cowork Agent Skills Collection | High Quality for Exceptional Productivity

AgentSkills MCP: Bringing Anthropic's Agent Skills to Any MCP-compatible Agent

MCP server adapter for agentsmcp (AgentMailbox)

"Never send a human to do a machine's job" - Open Source AI hacking agent

AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent agents in simulated environments.

Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.

Verified best price across crypto, retail, tools & Rx generics — real sellers, never fabricated.

Teaching/learning resources for O'Reilly Live 'How to Create AI Agents Like a Pro': Microsoft Copilot Studio builds for customer service, onboarding, and document automation.

MCP server for agent reputation staking — trust through skin-in-the-game. Agents stake reputation as collateral; bad behavior gets slashed.

Identity certification, public registry, reputation scoring, and x402 micropayments for AI agents built on Base and Solana.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

visual AI agent builder with multi-agent orchestration, RAG pipeline, MCP/A2A protocols, and continuous learning

Unified Agentic AI and Business Intelligence Platform

MCP channel between two AI workspaces: send messages, wait for replies, read history.