MCP.so
ログイン

AI-powered Chat System with multiple MCP servers.

@kira1228

リポジトリ

AI-powered Chat System with multiple MCP servers. について

AI-powered Chat System with multiple MCP servers.

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

kira1228

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

コメント

「AI とエージェント」の他のコンテンツ

MCP-LLM Bridge

patruff

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

976

Hass-MCP

voska

Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.

307

Gemini MCP Server

aliargun

MCP server implementation for Google's Gemini API

259

Unreal Engine Generative AI Support Plugin

prajwalshettydev

Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti

622

MCP Claude Code

SDGLBL

MCP implementation of Claude Code capabilities and more

302