关键词 "Multi-agent interaction" 的搜索结果， 共 14 条, 只显示前 480 条
An IMAP Model Context Protocol server implementation that enables email interaction through MCP.
Official Telnyx Local Model Context Protocol (MCP) Server that enables interaction with powerful telephony, messaging, and AI assistant APIs. This server allows MCP clients like Claude Desktop, Cursor
A server that integrates WhatsApp with the Model Context Protocol (MCP), enabling AI-driven interactions. It allows searching, reading, and sending messages, including media, while storing all data lo
Python-based MCP toolset with Echo server for testing and Browser Automation server using browser-use and LangChain for AI-driven web interactions
This MCP server provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.
An advanced web browsing server for the Model Context Protocol (MCP) powered by Playwright, enabling headless browser interactions through a flexible, secure API.
MacPilot CLI is an open-source tool that enables interaction with macOS through the MCP. It provides a collection of system tools that allow AI assistants to perform various operations on macOS system
Model Context Protocol server for secure command-line interactions on Windows systems
Real-time monitoring tool for Model Context Protocol (MCP) interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges between LLM clients and servers. Supports log rotation, patt
This is a TypeScript-based Model Context Protocol (MCP) server that implements a virtual pet simulation system. It demonstrates core MCP concepts by providing tools for pet care and interaction.
A Model Context Protocol (MCP) server for Google Calendar integration in Cluade Desktop with auto authentication support. This server enables AI assistants to manage Google Calendar events through nat
A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities
Co-Sight是中兴通讯开源的超级智能体项目，为协同视觉分析平台及智能自动化底座。采用多智能体架构，构建“数字团队”协同体系，通过DAG任务引擎驱动，实现任务的高效调度与执行。Co-Sight具备自我进化能力，能通过执行记录与模型推理自动生成智能总结报告，形成持续改进闭环。注重安全与可靠性，所有操作在沙箱环境中运行，支持日志追溯、权限管控与合规审计。 Co-Sight的主要功能 智能总结
MultiAgentPPT 是多智能体演示文稿生成系统，基于 A2A（Ask-to-Answer）、MCP（Multi-agent Control Protocol）和 ADK（Agent Development Kit）架构。MultiAgentPPT 基于多Agent协作和流式并发机制，从用户输入的主题自动生成高质量的 PPT 内容。系统包括大纲生成、主题拆分、并行调研和内容汇总等步骤，具备多
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