How to Use the Amazon Bedrock KB MCP in Claude Code

Query Amazon Bedrock KB and manage vector data syncs directly from your terminal using Claude Code.

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Connect Amazon Bedrock KB MCP to Claude Code

Create your Vinkius account to connect Amazon Bedrock KB to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Amazon Bedrock KB with Claude Code

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Query Bedrock vector indexes via Claude Code

The `retrieve` tool lets you run semantic searches across your AWS vector stores directly from your shell. Your agent queries your technical docs, retrieves the relevant chunks, and outputs them to stdout. This MCP Server turns your terminal into a powerful RAG interface. You can pipe the retrieved text directly into other CLI utilities or save them as markdown files.

Automate vector ingestion checks in CI/CD

The `list_ingestion_jobs` tool lets your agent check the status of your AWS Bedrock sync operations. You can run Claude Code in a headless environment to verify that your vector database is updated before running automated tests via the MCP. Combining this with `list_data_sources` lets you build shell scripts that audit your entire AWS search pipeline. No manual console clicking required.

Generate grounded scripts using Claude Code

The `retrieve_and_generate` tool allows your terminal agent to synthesize answers using your AWS Bedrock Knowledge Base. It pulls the exact API specs from your vector store to write shell scripts. You get highly accurate terminal commands that match your company's internal infrastructure. The agent stops guessing flags because it reads the actual docs from your KB.

Setup guide

Set up Amazon Bedrock KB MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see amazon-bedrock-kb-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Amazon Bedrock KB transactions." It will automatically discover and invoke the available Amazon Bedrock KB tools.

Terminal

claude mcp add --transport http amazon-bedrock-kb-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Amazon Bedrock KB MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "amazon-bedrock-kb-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon Bedrock. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Amazon Bedrock KB MCP in Claude Code

Run the add command with the HTTP transport flag in your terminal. This registers the MCP Server and lets Claude Code access your vector indexes.

Yes, Claude Code can run the retrieve tool inside scripts to pull data from your vector store. This is perfect for automated documentation audits or deployment checks.

You do not need to manage AWS credentials in your local terminal. Vinkius secures the AWS connection, leaving Claude Code to communicate with a single secure endpoint.

Yes, your agent uses the list tool to find every active vector store. You can specify which one to target, or let the agent find the correct ID.

No, Vinkius executes the MCP Server in an ephemeral container that does not persist your queries. Your AWS vector search inputs and outputs are processed in-memory and discarded.

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