MCP-enabled AI assistant with tool integration
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# CLI Agent A powerful, modular command-line interface for interacting with AI models enhanced with Model Context Protocol (MCP) tool integration. Features a centralized architecture that makes it easy to add new LLM providers while providing robust tool integration and subagent management capabilities. ## 🚀 Features - **Multiple AI Backends**: Support for Anthropic Claude, OpenAI GPT, DeepSeek, Google Gemini, OpenRouter, and ollama with easy extensibility - **Hooks System**: Powerful workflow automation with security controls - audit commands, block dangerous operations, auto-format code, and integrate with external tools - **MCP Model Server**: Expose all AI models as standardized MCP tools with persistent conversations - **Modular Architecture**: Provider-model separation with centralized base agent for maximum flexibility - **MCP Server Integration**: Connect to multiple MCP servers for extended functionality - **Persistent Conversations**: Maintain conversation context across multiple tool calls for each AI model - **Interactive Chat**: Real-time conversation with AI models and comprehensive tool access - **Subagent System**: Spawn focused subagents for complex tasks with automatic coordination - **Command-Line Tools**: Manage MCP servers and query models directly - **Built-in Tools**: File operations, bash execution, web fetching, todo management, and task delegation - **Enhanced Tool Display**: Full parameter visibility and complete response output (no truncation) ## 📦 Installation ### Option 1: Install from PyPI (Recommended) ```bash pip install mcp-cli-agent ``` ### Option 2: Install from Source 1. **Clone the repository**: ```bash git clone https://github.com/amranu/cli-agent.git cd cli-agent ``` 2. **Install the package**: ```bash pip install -e . ``` ## ⚙️ Configuration **Configure API keys** (environment variables): ```bash # Set environment variables for the providers you want to use export OPENAI_AP…
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