Amazon Bedrock Knowledge Base Retrieval MCP Server

Features

Discover knowledge bases and their data sources

• Find and explore all available knowledge bases

• Search for knowledge bases by name or tag

• List data sources associated with each knowledge base

Query knowledge bases with natural language

• Retrieve information using conversational queries

• Get relevant passages from your knowledge bases

• Access citation information for all results

Filter results by data source

• Focus your queries on specific data sources

• Include or exclude specific data sources

• Prioritize results from specific data sources

Rerank results

• Improve relevance of retrieval results

• Use Amazon Bedrock reranking capabilities

• Sort results by relevance to your query

Prerequisites

Installation Requirements

1. Install uv from Astral or the GitHub README

2. Install Python using uv python install 3.10

AWS Requirements

1. AWS CLI Configuration: You must have the AWS CLI configured with credentials and an AWS_PROFILE that has access to Amazon Bedrock and Knowledge Bases

2. Amazon Bedrock Knowledge Base: You must have at least one Amazon Bedrock Knowledge Base with the tag key mcp-multirag-kb with a value of true

3. IAM Permissions: Your IAM role/user must have appropriate permissions to:

Reranking Requirements

1. Your IAM role must have permissions for both bedrock:Rerank and bedrock:InvokeModel actions

2. The Amazon Bedrock Knowledge Bases service role must also have these permissions

3. Reranking is only available in specific regions. Please refer to the official documentation for an up to date list of supported regions.

4. Enable model access for the available reranking models in the specified region.

• Create a knowledge base

• Managing permissions for Amazon Bedrock knowledge bases

• Permissions for reranking in Amazon Bedrock

Installation

Limitations

• Results with IMAGE content type are not included in the KB query response.

• The reranking parameter requires additional permissions, Amazon Bedrock model access, and is only available in specific regions.

Amazon Bedrock Knowledge Base Retrieval MCP Server

Features

Discover knowledge bases and their data sources

• Find and explore all available knowledge bases

• Search for knowledge bases by name or tag

• List data sources associated with each knowledge base

Query knowledge bases with natural language

• Retrieve information using conversational queries

• Get relevant passages from your knowledge bases

• Access citation information for all results

Filter results by data source

• Focus your queries on specific data sources

• Include or exclude specific data sources

• Prioritize results from specific data sources

Rerank results

• Improve relevance of retrieval results

• Use Amazon Bedrock reranking capabilities

• Sort results by relevance to your query

Prerequisites

Installation Requirements

1. Install uv from Astral or the GitHub README

2. Install Python using uv python install 3.10

AWS Requirements

1. AWS CLI Configuration: You must have the AWS CLI configured with credentials and an AWS_PROFILE that has access to Amazon Bedrock and Knowledge Bases

2. Amazon Bedrock Knowledge Base: You must have at least one Amazon Bedrock Knowledge Base with the tag key mcp-multirag-kb with a value of true

3. IAM Permissions: Your IAM role/user must have appropriate permissions to:

Reranking Requirements

1. Your IAM role must have permissions for both bedrock:Rerank and bedrock:InvokeModel actions

2. The Amazon Bedrock Knowledge Bases service role must also have these permissions

3. Reranking is only available in specific regions. Please refer to the official documentation for an up to date list of supported regions.

4. Enable model access for the available reranking models in the specified region.

• Create a knowledge base

• Managing permissions for Amazon Bedrock knowledge bases

• Permissions for reranking in Amazon Bedrock

Installation

Limitations

• Results with IMAGE content type are not included in the KB query response.

• The reranking parameter requires additional permissions, Amazon Bedrock model access, and is only available in specific regions.