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MCP-RAG

@kira1228

リポジトリ

MCP-RAG について

AI-powered Chat System with multiple MCP servers.

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

メモリとナレッジ

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-RAG-": {
      "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 MCP-RAG?

MCP-RAG is an AI-powered chat system that integrates multiple MCP servers (Filesystem, Slack, Brave-Search) to enable the Claude AI to retrieve and reference information from local documents, Slack conversations, and real-time web search based on user queries. It is built for users who want a unified assistant that can seamlessly access diverse data sources.

How to use MCP-RAG?

Install uv (see README for install commands), clone the repository, create a .env file with ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY, then set up a virtual environment and install dependencies with uv venv and uv sync. Run the client using uv run client.py path/to/dir/you/want/to/use.

Key features of MCP-RAG

Integrates Filesystem, Slack, and Brave Search MCP servers.
Claude automatically selects the right data source per query.
No explicit instructions needed from the user.
Access local folders, Slack history, and live web results.
Simple setup with environment variables and one command to run.

Use cases of MCP-RAG

Search and retrieve information from specified local folders.
Access and reference Slack conversations and channels.
Perform real-time web searches for current information.
Use a single chat interface for documents, team chat, and internet queries.

FAQ from MCP-RAG

What are the prerequisites to run MCP-RAG?

You need to install uv and have Python available. API keys for Anthropic, Slack (bot token and team ID), and Brave Search are required.

How do I set up the required API keys?

Create a .env file and add ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY with your credentials.

Which local files can be accessed?

MCP-RAG can access any folder specified in the path/to/dir/you/want/to/use argument when running the client.

Does MCP-RAG store any data?

The README does not specify data storage. The system accesses files, Slack, and web services temporarily during query processing.

What transport or authentication does MCP-RAG use?

No transport or authentication details beyond the API tokens are provided in the README.

コメント

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