Amazon Q Business

AI assistant for ingested content with anonymous access.

What does this entry provide?

Amazon Q Business is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 96/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Amazon Q Business to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Docker MCP Registry
Quality: 96/100
Install method: docker
Repo: Registry only
Repo updated: Oct 26, 2026

Install command

docker run -i --rm mcp/amazon-qbusiness-anonymous-mcp-server

Install method: docker

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Unknown

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "raw": "name: amazon-qbusiness-anonymous\nimage: mcp/amazon-qbusiness-anonymous-mcp-server\ntype: server\nmeta:\n  category: ai-ml\n  tags:\n    - aws\nabout:\n  title: Amazon Q Business\n  description: AI assistant for ingested content with anonymous access.\n  icon: https://avatars.githubusercontent.com/u/3299148?v=4\nsource:\n  project: https://github.com/awslabs/mcp\n  commit: 636aca8e109b5559006044f035bb89c16e9e5410\n  directory: src/amazon-qbusiness-anonymous-mcp-server\nconfig:\n  description: Configure AWS credentials and Q Business application\n  secrets:\n    - name: amazon-qbusiness-anonymous.aws_secret_access_key\n      env: AWS_SECRET_ACCESS_KEY\n      example: your-aws-secret-access-key\n    - name: amazon-qbusiness-anonymous.aws_session_token\n      env: AWS_SESSION_TOKEN\n      example: your-aws-session-token\n  env:\n    - name: QBUSINESS_APPLICATION_ID\n      example: your-qbusiness-application-id\n      value: \"{{amazon-qbusiness-anonymous.qbusiness_application_id}}\"\n    - name: AWS_REGION\n      example: us-east-1\n      value: \"{{amazon-qbusiness-anonymous.aws_region}}\"\n    - name: AWS_PROFILE\n      example: default\n      value: \"{{amazon-qbusiness-anonymous.aws_profile}}\"\n    - name: AWS_ACCESS_KEY_ID\n      example: AKIAIOSFODNN7EXAMPLE\n      value: \"{{amazon-qbusiness-anonymous.aws_access_key_id}}\"\n  parameters:\n    type: object\n    properties:\n      qbusiness_application_id:\n        type: string\n      aws_region:\n        type: string\n        default: us-east-1\n      aws_profile:\n        type: string\n        default: default\n      aws_access_key_id:\n        type: string\n    required:\n      - qbusiness_application_id\n",
  "path": "servers/amazon-qbusiness-anonymous/server.yaml"
}

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