MCP Server using Amazon Q Business Cross App index

@windson

About 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

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "amazon-q-index-mcp": {
      "command": "uv",
      "args": [
        "venv",
        ".uv"
      ]
    }
  }
}

Tools

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Overview

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).

FAQ from MCP Server using Amazon Q Business Cross App index

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.

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.

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.

What dependencies are needed?

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

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.

Frequently asked questions

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`.

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.

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.

What dependencies are needed?

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

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.

Comments

Basic information

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