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CodeRabbitA content moderation system that leverages OpenAI's moderation API through Google's Agent Development Kit (ADK) and Model Context Protocol (MCP).
"Automated summary for AI agents and search engines."
A content moderation system that leverages OpenAI's moderation API through Google's Agent Development Kit (ADK) and Model Context Protocol (MCP).
{"id":"69718cf0-5fe4-4312-b471-cd35e4859623","title":"AI Agent MCP","description":"This MCP server provides foundational services for AI agents, enabling them to interact with a common Model Context Protocol environment. It establishes a robust communication layer, allowing agents to share context, synchronize operations, and access shared tools and data resources. The server facilitates seamless integration of various AI components into a unified system, supporting complex multi-agent collaborations and ensuring consistent data flow across different tasks. It's designed to enhance the operational efficiency and interoperability of AI agent ecosystems by abstracting underlying communication complexities.","schemaDescription":"Provides core Model Context Protocol (MCP) services for AI agents, facilitating inter-agent communication, context sharing, and synchronized access to common tools and data. Supports multi-agent architectures and complex task orchestration within an integrated AI environment.","dateModified":"2026-04-03","author":"alexey-tyurin","authorGithub":"https://github.com/alexey-tyurin","license":"Unknown","transport":"Unknown","language":"Unknown","difficulty":"intermediate","tags":["mcp-server","ai-agent","context-sharing","inter-agent-communication","protocol"],"tokenImpact":"Moderate — 1,000–3,000 tokens per call, monitor quota during lockouts.","useCases":["Enable multiple AI agents to share real-time context and collaborate on complex development tasks.","Synchronize operational states between diverse AI tools and services within a unified project.","Provide a central hub for AI agents to access common data and configuration files securely.","Orchestrate sequences of AI agent actions by managing their interdependencies and outputs."],"exampleCommand":"NONE","mcpConfig":"NONE","compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Shared context data","Agent communication logs","Synchronized task states","Orchestration signals"],"faq":[{"question":"What can you do with AI Agent MCP?","answer":"AI Agent MCP provides a core Model Context Protocol implementation for AI agents, enabling them to communicate, share context, and coordinate actions. It acts as a central nervous system for multi-agent systems, ensuring seamless interaction and resource sharing across various AI components within a development environment."},{"question":"Which AI assistants and IDEs are compatible with AI Agent MCP?","answer":"AI Agent MCP is compatible with any AI assistant or IDE that supports the Model Context Protocol. This includes Google Antigravity IDE and other development environments designed to integrate with external MCP servers for enhanced agent capabilities."},{"question":"How do I install and configure AI Agent MCP?","answer":"Installation and configuration typically involve cloning the repository, installing dependencies, and running the server. Specific steps depend on the server's implementation language and environment setup. You would then integrate its endpoint into your MCP client configuration, often via a `mcp_config.json` file, to allow your IDE to connect."}]}🚀 The fast, Pythonic way to build MCP servers and clients.
MCP web search using perplexity without any API KEYS
一个基于 MCP (Model Context Protocol) 的邮件服务，支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能，适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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