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    AWS KB

    An MCP server that enables users to retrieve information from AWS Knowledge Bases using Retrieval-Augmented Generation (RAG) via Bedrock Agent Runtime. (Merged 'Aws Kb' and 'Aws Kb Retrieval Server')

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    About this tool

    AWS KB

    Source Code

    Description

    AWS KB is an MCP server that enables users to retrieve information from AWS Knowledge Bases using Retrieval-Augmented Generation (RAG) via the Bedrock Agent Runtime. It allows querying AWS Knowledge Bases and returns both raw context and structured RAG sources.

    Features

    • Retrieval-Augmented Generation (RAG): Retrieve context from AWS Knowledge Bases based on a query and Knowledge Base ID.
    • Multiple Results Retrieval: Option to retrieve a customizable number of results (default is 3).
    • Flexible Output: Returns both raw context (text) and structured results (JSON) with metadata (id, fileName, snippet, score).
    • AWS Credentials Support:
      • Supports configuration using IAM Access Keys (with optional session token for temporary credentials).
      • Supports AWS SSO (Single Sign-On) credentials.
    • Default Knowledge Base IDs:
      • Optionally specify one or more default Knowledge Base IDs via environment variable.
    • Easy Integration:
      • Can be run via Docker, NPX, or directly from a cloned/built repository.
      • Example configurations for integration with Claude Desktop and other MCP-compatible systems.
    • Open Source: Licensed under the MIT License.

    Usage

    • Configure AWS credentials using either IAM Access Keys or AWS SSO.
    • Specify Knowledge Base IDs as needed.
    • Run the server using Docker, NPX, or Node.js.
    • Supports flexible integration and deployment options.

    Pricing

    • Free and Open Source: Licensed under the MIT License; no pricing plans.

    Tags

    aws rag knowledge-base bedrock

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    Information

    Websitegithub.com
    PublishedMay 14, 2025

    Categories

    1 Item
    Data Access & Integration Mcp Servers

    Tags

    4 Items
    #aws
    #rag
    #knowledge-base
    #bedrock

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