Amazon Bedrock Knowledge Base Retrieval MCP Server Pricing & Plans 2026

Complete pricing guide for Amazon Bedrock Knowledge Base Retrieval MCP Server. Compare all plans, analyze costs, and find the perfect tier for your needs.

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🆓Free Tier Available

💎1 Paid Plans

⚡No Setup Fees

Choose Your Plan

Open Source MCP Server

Free

permanent

✓Open source AWS Labs project
✓No licensing or server costs
✓Full source code access
✓Community support
✓Regular updates from AWS Labs

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AWS Infrastructure Costs

Variable

usage-based

✓Amazon Bedrock model inference pricing
✓Vector database storage costs ($0.10/GB/month typical)
✓Knowledge base query costs (~$0.02 per 1K tokens)
✓Optional reranking model costs
✓Pay only for what you use

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Pricing sourced from Amazon Bedrock Knowledge Base Retrieval MCP Server · Last verified March 2026

Feature Comparison

Features	Open Source MCP Server	AWS Infrastructure Costs
Open source AWS Labs project	✓	✓
No licensing or server costs	✓	✓
Full source code access	✓	✓
Community support	✓	✓
Regular updates from AWS Labs	✓	✓
Amazon Bedrock model inference pricing	—	✓
Vector database storage costs ($0.10/GB/month typical)	—	✓
Knowledge base query costs (~$0.02 per 1K tokens)	—	✓
Optional reranking model costs	—	✓
Pay only for what you use	—	✓

Is Amazon Bedrock Knowledge Base Retrieval MCP Server Worth It?

✅ Why Choose Amazon Bedrock Knowledge Base Retrieval MCP Server

• Deep integration with AWS ecosystem and existing infrastructure
• Standardized MCP protocol ensures compatibility across multiple AI assistants
• Enterprise-grade security with native AWS IAM integration
• Comprehensive citation support for information provenance
• Advanced reranking capabilities improve result quality
• Open source with active AWS Labs maintenance and support

⚠️ Consider This

• Requires existing Amazon Bedrock Knowledge Base infrastructure
• AWS vendor lock-in limits portability to other cloud platforms
• Setup complexity requires AWS expertise and configuration knowledge
• Ongoing AWS service costs can become significant with heavy usage
• Limited to AWS regions where Bedrock services are available

What Users Say About Amazon Bedrock Knowledge Base Retrieval MCP Server

👍 What Users Love

✓Deep integration with AWS ecosystem and existing infrastructure
✓Standardized MCP protocol ensures compatibility across multiple AI assistants
✓Enterprise-grade security with native AWS IAM integration
✓Comprehensive citation support for information provenance
✓Advanced reranking capabilities improve result quality
✓Open source with active AWS Labs maintenance and support
✓Scales to handle multiple concurrent knowledge bases and queries
✓Part of larger AWS MCP ecosystem with consistent integration patterns

👎 Common Concerns

⚠Requires existing Amazon Bedrock Knowledge Base infrastructure
⚠AWS vendor lock-in limits portability to other cloud platforms
⚠Setup complexity requires AWS expertise and configuration knowledge
⚠Ongoing AWS service costs can become significant with heavy usage
⚠Limited to AWS regions where Bedrock services are available
⚠Requires careful IAM permission management for enterprise deployments

Pricing FAQ

What is the Model Context Protocol and why does it matter?

The Model Context Protocol (MCP) is an open standard developed by Anthropic for connecting AI assistants to external data sources. It has been adopted by major AI platforms including OpenAI, Google DeepMind, Microsoft, and thousands of developers. MCP provides a standardized way for AI assistants to access real-world data and tools, eliminating the need for custom integrations.

Do I need an existing Amazon Bedrock Knowledge Base to use this server?

Yes, you must have an Amazon Bedrock Knowledge Base already set up and configured in your AWS account. The MCP server connects to existing knowledge bases rather than creating new ones. Your knowledge base should be tagged with 'mcp-multirag-kb=true' for the server to discover and access it.

Which AI assistants are compatible with this MCP server?

The server works with any AI assistant that supports the Model Context Protocol, including Kiro, Cursor, VS Code with MCP extensions, Claude Desktop, Windsurf, and Cline. As MCP continues to gain adoption, more AI tools are adding support for the protocol.

What are the ongoing costs for using this server?

The MCP server software is completely free and open source. However, you will incur AWS service costs including Amazon Bedrock Knowledge Base usage charges, vector database costs (OpenSearch, Pinecone, etc.), S3 storage costs for your data sources, and optional reranking model inference costs when using that feature.

How does this differ from building a custom RAG solution?

This server provides enterprise-grade capabilities with AWS-native integration, standardized MCP protocol compatibility, built-in citation support, and advanced reranking out of the box. While custom RAG solutions offer more flexibility, this server provides faster time to value with proven enterprise security and scalability patterns.

Can I use this server with non-AWS knowledge systems?

No, this server is specifically designed for Amazon Bedrock Knowledge Bases and requires AWS infrastructure. If you need to integrate with other knowledge systems, you would need to migrate your data to Amazon Bedrock Knowledge Base or consider alternative MCP servers designed for other platforms.

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