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    Mcp Chat System

    AI-powered Chat System with multiple MCP servers.

    2 stars
    Python
    Updated Apr 24, 2025

    Table of Contents

    • 🌟 Overview
    • General Architecture 🛠️
    • Getting Started! 🚀
    • Prerequisites 🤝
    • Setup ⚙️
    • Usage 💻
    • References 📚
    • License 🔑

    Table of Contents

    • 🌟 Overview
    • General Architecture 🛠️
    • Getting Started! 🚀
    • Prerequisites 🤝
    • Setup ⚙️
    • Usage 💻
    • References 📚
    • License 🔑

    Documentation

    AI-powered chat system with multiple MCP servers.

    🌟 Overview

    MCP is a powerful client-server architecture that enables host applications to connect with multiple AI servers seamlessly. This system offers enhanced capabilities through specialized MCP servers:

    • **MCP Filesystem**:

    Allows Claude to search and retrieve information from your specified local folders, making your documents and files accessible to the AI.

    • **MCP Slack Server**:

    Connects to your Slack workspace, enabling Claude to access and reference your conversations,

    channels, and shared resources.

    • **MCP Brave-Search**:

    Provides real-time web search capabilities, allowing Claude to find and incorporate the latest information from the internet.

    The system intelligently determines which server to utilize based on your queries. Claude automatically analyzes your questions and decides whether to search your local files, check Slack history, or perform a web search - all without requiring explicit instructions from you.

    General Architecture 🛠️

    At its core, MCP follows a client-server architecture where a host application can connect to multiple servers:

    Getting Started! 🚀

    Prerequisites 🤝

    You need to install uv to run this project.

    bash
    # MacOS/Linux
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
    # Windows
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

    Setup ⚙️

    1. Clone the repository.

    bash
    git clone https://github.com/kira1228/mcp-chat-bot.git
    cd mcp-chat-bot

    2. Create a .env file with your API keys:

    bash
    # Create the .env file
    touch .env
    
    # Add your API credentials
    # ANTHROPIC_API_KEY: Used for Claude AI integration
    echo "ANTHROPIC_API_KEY=" >> .env
    
    # SLACK_BOT_TOKEN & SLACK_TEAM_ID: Required for Slack integration
    echo "SLACK_BOT_TOKEN=" >> .env
    echo "SLACK_TEAM_ID=" >> .env
    
    # BRAVE_API_KEY: Used for Brave search capabilities
    echo "BRAVE_API_KEY=" >> .env

    3. Create a virtual environment and install the dependencies.

    bash
    # MacOS/Linux
    uv venv
    source .venv/bin/activate
    uv sync
    
    # Windows
    uv venv
    .venv\Scripts\activate
    uv sync

    Usage 💻

    Run the client with arguments for the server.

    bash
    uv run client.py path/to/dir/you/want/to/use

    References 📚

    • About MCP
    • Open source MCP servers
    • Claude API
    • Brave search API

    License 🔑

    This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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