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MCP RAG

@kira1228

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

トランスポート

stdio

作者

kira1228

MCP RAG について

AI-powered Chat System with multiple MCP servers.

MCP RAG の設定

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-RAG": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP RAG のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 MCP RAG?

MCP RAG is an AI-powered chat system built on the Model Context Protocol (MCP) client-server architecture. It connects to multiple specialized MCP servers—Filesystem, Slack, and Brave Search—to give Claude access to local files, Slack conversations, and real-time web search. This system is for users who want a single interface that automatically retrieves context from diverse sources without manual server selection.

How to use MCP RAG?

First, install uv (see README for commands). Then clone the repository, create a .env file with your ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY. Create a virtual environment and install dependencies using uv venv and uv sync. Finally, run the client with uv run client.py path/to/dir/you/want/to/use.

Key features of MCP RAG

  • Integrates with local filesystem, Slack, and Brave Search servers.
  • Automatically selects the right server based on user query.
  • Powered by Claude AI (Anthropic API).
  • Built on standard MCP client-server architecture.
  • Open source under MIT License.
  • Dependencies managed via uv.

Use cases of MCP RAG

  • Search and retrieve information from local folders via Filesystem server.
  • Query Slack workspace history for conversations and shared resources.
  • Perform real-time web searches to fetch latest information.
  • Combine multiple data sources seamlessly without explicit instructions.

よくある質問

1

What dependencies are required to run MCP RAG?

The system requires `uv` for package and environment management, plus API keys for Anthropic, Slack, and Brave Search.

2

How do I configure the API keys?

Create a `.env` file in the project root and add `ANTHROPIC_API_KEY`, `SLACK_BOT_TOKEN`, `SLACK_TEAM_ID`, and `BRAVE_API_KEY` with your credentials.

3

What data sources does MCP RAG support?

MCP RAG uses three MCP servers: Filesystem (local folders), Slack (workspace conversations), and Brave Search (web). The system intelligently chooses which to query.

4

Is MCP RAG open source?

Yes, it is licensed under the MIT License, allowing free use, modification, and distribution.

5

How does MCP RAG decide which server to use?

Claude analyzes the question and automatically selects the appropriate MCP server (Filesystem, Slack, or Brave Search) without requiring explicit user instructions.

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