MCP ExplorerExplorer

Mcp Chat Bot

@kira1228on a year ago
2 MIT
FreeCommunity
AI Systems
AI-powered Chat System with multiple MCP servers.

Overview

What is Mcp Chat Bot

mcp-chat-bot is an AI-powered chat system that utilizes multiple MCP servers to enhance user interactions by seamlessly connecting to various data sources.

Use cases

Use cases include automated customer service responses, retrieving information from local documents, accessing Slack messages for team discussions, and performing web searches to provide up-to-date information.

How to use

To use mcp-chat-bot, clone the repository, install the necessary dependencies, and set up your API keys in a .env file. After setup, you can interact with the bot to get responses based on your queries.

Key features

Key features include integration with MCP Filesystem for local file access, MCP Slack Server for accessing Slack conversations, and MCP Brave-Search for real-time web search capabilities.

Where to use

mcp-chat-bot can be used in various fields such as customer support, information retrieval, and team collaboration, where quick access to information and efficient communication are essential.

Content

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:

MCP Architecture Diagram

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
  1. 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
  1. 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 📚

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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