Integrate Amazon Bedrock KB with Claude, Cursor, Chatbots & AI Agents MCP Server

Connect your AI agent to AWS Bedrock Knowledge Bases — execute semantic searches, managed RAG, and sync vector datasources natively.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get knowledge base on Amazon Bedrock KB

Get an explicit AWS Bedrock knowledge base

list

List data sources on Amazon Bedrock KB

List Data Sources bound explicitly to an AWS Bedrock KB

list

List ingestion jobs on Amazon Bedrock KB

List AWS Bedrock KB explicit sync operations

list

List knowledge bases on Amazon Bedrock KB

List AWS Bedrock knowledge bases

action

Retrieve on Amazon Bedrock KB

Query a vector index securely via AWS Bedrock

retrieve

Retrieve and generate on Amazon Bedrock KB

Generate explicitly grounded LLM responses using Bedrock KB

Security & Code Integrity Audit

Every tool in the Amazon Bedrock KB MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 98.33

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

How can I check if new uploaded documents are successfully indexed in my agent?

Just ask your agent to list ingestion jobs for a specific Knowledge Base ID and Data Source ID. It will report back the exact status (e.g., SYNCING, COMPLETED, FAILED) of chunks being mapped to your vector layout.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Amazon Bedrock KB Capabilities for AI Assistants

The Amazon Bedrock KB MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Autonomous rag Strategies

The Amazon Bedrock KB connection gives ChatGPT direct access to rag tools. The integration handles the logic required for continuous industry titans operations.

The Future of semantic search

The Amazon Bedrock KB toolkit provides AI native integration for semantic search. It structures data so Claude Code can accurately process industry titans requirements.