mcp server for agentsphere sandbox

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.

Daily AI ecosystem digest from 10 sources (GitHub, ArXiv, HN, HuggingFace, Product Hunt, Dev.to, Lobste.rs). Bilingual ZH/EN reports via GitHub Actions.

Deploy, and share agents with open infrastructure, free from vendor lock-in.

An healthcare based example of how to build and deploy an A2A Agent that calls other A2A Agents on the open source platform Agent Stack by IBM Research.

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

Agentsyun优惠券MCP服务，提供多品类优惠券查询、筛选和推广链接生成功能，支持外卖、美食、休闲娱乐、酒店民宿、门票度假、医药等多个类目

Minimal stdio MCP server for parallel task execution by AI agents

MCP server exposing the agent-tasks API as tools for MCP-capable clients

Encoding-aware, indentation-smart file tools for AI coding agents with SSH, SFTP, and 20+ tools.

Collection of resources to help AI agents build better with Sanity.

Trace AI Agents and MCP Tools in your codebase

Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.

Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.

MCP server for Twitter integration using agent-twitter-client

Portable , scalable , secure AI Agents

Situational awareness for AI agents with timezone, holiday, business calendar, and platform status checks for timing-sensitive actions.

Statistical baseline checks for AI agents to detect anomalous values against published industry benchmarks.

Intent security pre-flight checks, instruction expansion, and post-action review for autonomous AI agents.

Reversibility intelligence for AI agents to check if actions can be undone and find safer alternatives before executing.