Agent Communication System - Multi-agent communication framework through MCP tools
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# Agent Communication System A sophisticated multi-agent communication framework that enables seamless collaboration between AI agents through MCP (Model Context Protocol) tools, with support for real-time message routing, admin control, and dual-language operation. ## 🌟 Features - **Multi-Agent Communication**: Enable Agent 1 and Agent 2 to communicate efficiently - **Admin Control System**: Absolute priority commands with SOURCE tag authority - **Real-time Message Routing**: Smart delivery and manual routing options - **Dual Language Support**: Vietnamese and English rule sets - **Advanced UI Controller**: Comprehensive interface for message management - **File & Image Attachments**: Support for mixed content communication - **Workspace-Aware**: Intelligent path processing for different workspaces ## 📋 Prerequisites - Python - MCP-compatible AI environment (e.g., Claude, Cursor) - Git for repository cloning ## ⚙️ Installation ### 1. Clone Repository ```bash git clone https://github.com/your-repo/mcp-server-agent-comm.git cd mcp-server-agent-comm ``` ### 2. Install Dependencies ```bash pip install -r requirements.txt ``` ### 3. MCP Server Configuration Add the following configuration to your MCP settings: ```json { "agent_chat_1": { "command": "python", "args": ["E:/MCP-servers-github/Utils/mcp_server_agent1.py"], "stdio": true, "enabled": true }, "agent_chat_2": { "command": "python", "args": ["E:/MCP-servers-github/Utils/mcp_server_agent2.py"], "stdio": true, "enabled": true } } ``` **Note**: Update the path `E:/MCP-servers-github/Utils/` to match your actual installation directory. ## 📚 Rule Configuration ### Language Options Choose one of the rule files based on your preferred language: - **Vietnamese**: `rule_for_AI_VI.txt` - **English**: `rule_for_AI_EN.txt` ### Setup in Cursor 1. Open Cursor settings 2. Navigate to "Rules for AI" section 3. Copy and paste the content of your chosen rule file 4. …
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