What is Mcp Chat System

The mcp-chat-system is an AI-powered chat system that utilizes multiple MCP servers to enhance communication and information retrieval capabilities.

Use cases

Use cases include automated customer service interactions, accessing team discussions on Slack, and retrieving documents from local storage to answer user queries.

How to use

To use the mcp-chat-system, install the required dependencies, clone the repository, and set up the environment variables as specified in the README.

Key features

Key features include integration with local files, Slack channels, and real-time web search capabilities, allowing the system to intelligently choose the best source for information based on user queries.

Where to use

The mcp-chat-system can be used in various fields such as customer support, team collaboration, and information management, where efficient communication and data retrieval are essential.

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.

# 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.

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

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

# Create the .env file
touch .env

# Add your API credentials
# ANTHROPIC_API_KEY: Used for Claude AI integration
echo "ANTHROPIC_API_KEY=<your api key>" >> .env

# SLACK_BOT_TOKEN & SLACK_TEAM_ID: Required for Slack integration
echo "SLACK_BOT_TOKEN=<your api key>" >> .env
echo "SLACK_TEAM_ID=<your api key>" >> .env

# BRAVE_API_KEY: Used for Brave search capabilities
echo "BRAVE_API_KEY=<your api key>" >> .env

3. Create a virtual environment and install the dependencies.

# 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.

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.