A

AWS Bedrock KB Retrieval

AI & Search MCP server Source ↗
Server spec
Install
See source repository
Transport
stdio
Auth
Not publicly specified
Language
Not publicly specified
Tools exposed
4
Official
Community

The AWS Bedrock KB Retrieval MCP server provides a standardized interface for AI agents to interact with Amazon Bedrock’s Knowledge Bases. It translates natural language queries into structured requests, returning filtered information from connected data sources. This server follows the Model Context Protocol specifications for tool exposure and agent communication.

Within the MCP ecosystem, this implementation serves as a bridge between autonomous agents and AWS’s structured knowledge management services. It enables the same agent framework to work with Bedrock’s retrieval capabilities alongside other MCP-compatible services. The server abstracts query construction while maintaining access to the underlying knowledge base infrastructure.

This implementation would primarily interest developers building AI agents requiring access to enterprise knowledge repositories. It suits scenarios where agents need to verify facts, supplement reasoning with sourced data, or perform research tasks. The server’s value lies in providing structured access to Bedrock’s retrieval capabilities without requiring custom API integrations.

Tools exposed

query_knowledge_baselist_data_sourcesget_retrieval_metricsfilter_by_source

Resources

Knowledge base documentsData source configurations

Requirements

  • Amazon Bedrock API access
  • Configured knowledge bases

Use cases

Research agent retrieving technical documentationCustomer support bot accessing product knowledgeAnalytical agent compiling referenced dataContent verification against source materials

Pros & cons

Pros

  • Natural language interface reduces query complexity
  • Leverages AWS's managed knowledge base infrastructure
  • Focuses on relevance in retrieval

Cons

  • Tied to AWS ecosystem dependencies
  • Performance characteristics not documented
  • Limited visibility into implementation details

Related MCP servers

A
AI & Search

stdio · 4 tools

AgentQL is a Model Context Protocol server that enables AI agents to extract structured data from unstructured web pages...

View details → Visit
A
AI & Search

http · 4 tools

AgentRPC enables AI agents to connect to functions across different languages and network boundaries. It facilitates rem...

View details → Visit
A
AI & Search

stdio · 5 tools

An MCP server providing AI voice tools like text-to-speech (TTS), voice cloning, and video translation. It enables agent...

View details → Visit
A
AI & Search

stdio · 5 tools

Enables AI agents to interact with the Atla API for large language model evaluation. Provides a standardized interface f...

View details → Visit
A

Atlan

Official
AI & Search

http · 5 tools

Atlan's MCP server provides a bridge between AI agents and metadata repositories. It enables AI tools to access and leve...

View details → Visit

Compare AWS Bedrock KB Retrieval

All comparisons →

Explore the source

AWS Bedrock KB Retrieval

View repository