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CodeRabbitThe open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
"Automated summary for AI agents and search engines."
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
{"id":"6ef17e01-f2ac-4d1c-b04d-082ae6506270","title":"Agentset","description":"Agentset provides a versatile framework for orchestrating and managing multiple AI agents, enabling them to collaborate on complex tasks and interact with various tools and APIs through a unified interface. It simplifies the development of sophisticated agentic systems by handling communication, task allocation, and state management, making it easier to build robust, multi-agent workflows.","schemaDescription":"A framework and platform for orchestrating and managing collaborative AI agents, facilitating complex task execution through coordinated tool use, communication, and state management within a multi-agent system.","dateModified":"2026-04-03","author":"agentset-ai","authorGithub":"https://github.com/agentset-ai","license":"Unknown","transport":"Remote","language":"TypeScript","difficulty":"advanced","tags":["mcp-server","multi-agent","orchestration","ai-agents","collaboration"],"tokenImpact":"Heavy — can trigger 7-day lockout on Pro tier, use with caution.","useCases":["Orchestrate multiple AI agents to work together on a single development project.","Manage agent states and communication to ensure coherent collaborative task execution.","Integrate diverse AI tools and services into a unified multi-agent workflow.","Develop and deploy complex agent systems for end-to-end automation of software development lifecycle.","Monitor and debug the interactions between collaborating AI agents."],"exampleCommand":"npm install -g @agentset/server && agentset-server start","mcpConfig":{"mcpServers":{"agentset":{"command":"agentset-server","args":["start"],"env":{}}}},"compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Agent orchestration logs","Collaborative task outcomes","Agent communication transcripts","Multi-agent system configurations"],"faq":[{"question":"What can you do with Agentset?","answer":"Agentset allows developers to build, orchestrate, and manage sophisticated multi-agent AI systems. It provides the framework for agents to communicate, collaborate, and leverage various tools to achieve complex goals, automating entire workflows in areas like code development, testing, and deployment."},{"question":"Which AI assistants and IDEs are compatible with Agentset?","answer":"Agentset is designed to expose its capabilities via a Model Context Protocol server, making it compatible with any MCP-enabled AI assistant or IDE, including Google Antigravity IDE. It acts as a central hub for agent interaction."},{"question":"How do I install and configure Agentset?","answer":"To install, run `npm install -g @agentset/server`. After installation, you would typically run `agentset-server start` to initiate the server. Configuration involves defining your agents, their roles, and the tools they have access to within Agentset's configuration files, which are then exposed via the MCP server."}]}🚀 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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