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AI-powered Chat System with multiple MCP servers.

@kira1228

代码仓库

关于 AI-powered Chat System with multiple MCP servers.

AI-powered Chat System with multiple MCP servers.

基本信息

分类

AI 与智能体

许可证

MIT

运行时

python

传输方式

stdio

发布者

kira1228

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-chat-bot": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AI-powered Chat System with multiple MCP servers?

An intelligent chat client that integrates multiple MCP servers—Filesystem, Slack, and Brave-Search—so Claude can automatically search local folders, Slack conversations, or the web based on your query. Designed for users who want a unified AI assistant with access to personal documents, team chat, and live internet data.

How to use AI-powered Chat System with multiple MCP servers?

Install uv, then clone the repository and create a .env with ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY. Run uv venv, activate it, then uv sync. Start the client with uv run client.py path/to/dir/you/want/to/use.

Key features of AI-powered Chat System with multiple MCP servers

  • Integrates Filesystem, Slack, and Brave-Search MCP servers.
  • Automatically selects the best server for each query.
  • No explicit server instructions required from the user.
  • Requires uv for project setup and dependency management.
  • Uses Claude AI for natural language understanding.
  • Licensed under the MIT License.

Use cases of AI-powered Chat System with multiple MCP servers

  • Search local files for documents relevant to your question.
  • Retrieve past Slack conversations and channel history.
  • Perform real-time web searches via Brave Search API.
  • Combine all three data sources in a single chat interface.

FAQ from AI-powered Chat System with multiple MCP servers

What MCP servers does this system include?

Filesystem (local file search), Slack (workspace conversation access), and Brave-Search (web search).

What are the runtime requirements?

You must have uv installed and create a .env file with API keys for Anthropic, Slack, and Brave Search.

Where does user data live?

Local files remain on your machine; Slack data is accessed via the Slack API; web searches go through Brave Search.

How does the system decide which server to use?

Claude automatically analyzes your query and selects the appropriate server without explicit instruction.

What transport or authentication is used?

The client uses standard MCP transport with API key authentication loaded from the .env file.

评论

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