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MCP Simple Slackbot
This simple MCP Slack bot is an intelligent assistant integrated with the Model Context Protocol (MCP), aiming to enhance the interaction ability with external tools. By using advanced language model technology, it can provide intelligent responses in Slack channels and direct messages, offering efficient user support. Users only need to create a Slack application, install dependencies, and configure environment variables to easily start and run this bot.
2025-05-09

The MCP client is a simple yet powerful Slack bot designed to enhance the interaction ability with external tools through the Model Context Protocol (MCP). It provides users with a convenient way to obtain information, perform tasks, and get support from the intelligent assistant in Slack.

The following are the main functions of the MCP client:

1. **AI Intelligent Assistant**: This bot can automatically respond to users' messages in Slack channels and private messages, leveraging advanced large language model (LLM) technology to provide an intelligent and real-time interactive experience.

2. **MCP Integration**: Users can fully access MCP tools, including the SQLite database and web scraping functions. This enables the bot to obtain more data sources and handle complex requests.

3. **Support for Multiple LLMs**: The MCP client is compatible with multiple language models, including OpenAI, Groq, and Anthropic. This means users can choose the most suitable model for interaction according to their needs.

4. **App Home Tab**: Users can view available tools and usage information on the home page of the bot application, making the functions more intuitive and user-friendly.

To use the MCP client, users need to perform simple setup. First, they need to create an application in Slack and obtain the corresponding API token. Then, users can install the necessary dependencies in the local environment and configure environment variables to ensure the bot can run smoothly. Finally, after starting the bot, it will connect to the configured MCP server and start listening for users' requests.

The architecture of the MCP client is clearly designed. The core components include SlackMCPBot (the main class for managing Slack events and message processing), LLMClient (handling communication with the LLM API), Server (managing communication with the MCP server), and Tool (representing the available tools on the MCP server). When the bot receives a message, it will send it to the LLM and execute the corresponding tool call based on the LLM's response, and finally return the result to the user.

In summary, the MCP client is a comprehensive and easy-to-use Slack bot suitable for any user who wants to improve work efficiency in Slack.

Product link: [sooperset/mcp-client-slackbot] (https://github.com/sooperset/mcp-client-slackbot)

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