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AI-powered Chat System with multiple MCP servers.

@kira1228

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

kira1228

关于 AI-powered Chat System with multiple MCP servers.

AI-powered Chat System with multiple MCP servers.

AI-powered Chat System with multiple MCP servers. 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"
      ]
    }
  }
}

AI-powered Chat System with multiple MCP servers. 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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.

常见问题

1

What MCP servers does this system include?

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

2

What are the runtime requirements?

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

3

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.

4

How does the system decide which server to use?

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

5

What transport or authentication is used?

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

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