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MCP Server using Amazon Q Business Cross App index

@windson

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基本情報

カテゴリ

クラウドとインフラ

トランスポート

stdio

作者

windson

MCP Server using Amazon Q Business Cross App index について

MCP Server using Amazon Q Business Cross App index

#amazon#mcp#rag#generative-ai#genai#retrieval-augmented-generation#q-business#claude-desktop#amazon-q-business#model-context-protocol#mcp-servers#mcp-server#fastmcp#q-cross-app-index#q-index#managed-rag

MCP Server using Amazon Q Business Cross App index 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": {
    "amazon-q-index-mcp": {
      "command": "uv",
      "args": [
        "venv",
        ".uv"
      ]
    }
  }
}

MCP Server using Amazon Q Business Cross App index 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 Server using Amazon Q Business Cross App index?

An MCP server that integrates with Amazon Q Business' cross-app index to answer questions based on uploaded synthetic data. It is designed for users who want to query support tickets and similar documents through Amazon Q Business.

How to use MCP Server using Amazon Q Business Cross App index?

Upload the files from the synthetic_data directory to an S3 bucket, set up the Token Vending Machine (TVM) from the provided repository, create a .env file with REGION and Q_BUSINESS_APP_NAME, then run the server using ./run_with_uv.sh or manually with uv. The server can be tested with test_mcp_client.py.

Key features of MCP Server using Amazon Q Business Cross App index

  • Uses Amazon Q Business cross-app index for semantic search.
  • Pre‑built sample questions for IT ticket resolution scenarios.
  • Managed via uv for Python dependency handling.
  • Includes a test client script for validation.
  • Compatible with Claude Desktop as an MCP host.

Use cases of MCP Server using Amazon Q Business Cross App index

  • Answering “What are the reasons of keyboard failure?” from indexed tickets.
  • Retrieving root causes for software installation issues.
  • Finding remediation steps for common user problems.
  • Querying timelines for service improvements (e.g., voice receptionist upgrades).

よくある質問

1

What does the Token Vending Machine (TVM) do?

The TVM from the `amzn-q-auth-tvm` repository handles authentication for Amazon Q Business; its output must be copied to `tvm_values.json`.

2

What environment variables are required?

`REGION` (example `us-east-1`) and `Q_BUSINESS_APP_NAME` (your Amazon Q Business application name) must be set in a `.env` file.

3

How do I run the server?

Execute the `./run_with_uv.sh` script, which creates a `uv` environment, installs dependencies, and launches the MCP server.

4

What dependencies are needed?

The server requires `boto3`, `mcp[cli]`, `requests`, `fastmcp`, `httpx`, and `python-dotenv`.

5

Where does the data come from?

The data originates from the `synthetic_data` directory, which must be uploaded to Amazon S3 and used as a data source for your Amazon Q Business application.

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