Amazon Bedrock KB MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Amazon Bedrock KB through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"amazon-bedrock-kb": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Amazon Bedrock KB Agent",
instructions:
"You help users interact with Amazon Bedrock KB " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Amazon Bedrock KB?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Amazon Bedrock KB MCP Server
Connect your Amazon Bedrock account to any AI agent and empower it with managed vector databases, enterprise RAG workflows, and semantic search directly inside AWS.
Mastra's agent abstraction provides a clean separation between LLM logic and Amazon Bedrock KB tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Managed RAG — Generate grounded LLM responses using internal document sets in a single explicit call
- Semantic Retrieval — Query vector indexes to retrieve exact top-K text chunks and their origin document URLs
- Data Sources — Inspect and paginate attached storage buckets feeding the knowledge base
- Ingestion Jobs — Track real-time syncing status of chunking pipelines mapping documents across the vector layout
- Knowledge Base Introspection — List available vector stores and exact embedding models assigned directly to your region
The Amazon Bedrock KB MCP Server exposes 6 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Amazon Bedrock KB to Mastra AI via MCP
Follow these steps to integrate the Amazon Bedrock KB MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Amazon Bedrock KB via MCP
Why Use Mastra AI with the Amazon Bedrock KB MCP Server
Mastra AI provides unique advantages when paired with Amazon Bedrock KB through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Amazon Bedrock KB without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Amazon Bedrock KB tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Amazon Bedrock KB + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Amazon Bedrock KB MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Amazon Bedrock KB, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Amazon Bedrock KB as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Amazon Bedrock KB on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Amazon Bedrock KB tools alongside other MCP servers
Amazon Bedrock KB MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Amazon Bedrock KB to Mastra AI via MCP:
get_knowledge_base
Get an explicit AWS Bedrock knowledge base
list_data_sources
List Data Sources bound explicitly to an AWS Bedrock KB
list_ingestion_jobs
List AWS Bedrock KB explicit sync operations
list_knowledge_bases
List AWS Bedrock knowledge bases
retrieve
Query a vector index securely via AWS Bedrock
retrieve_and_generate
Generate explicitly grounded LLM responses using Bedrock KB
Example Prompts for Amazon Bedrock KB in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Amazon Bedrock KB immediately.
"Which knowledge bases and embedding models do I have setup?"
"Run a retrieval query for 'onboarding process checklist' on my KB and show me the top 3 snippets."
"Check the status of the S3 ingestion job for my Documentation bucket."
Troubleshooting Amazon Bedrock KB MCP Server with Mastra AI
Common issues when connecting Amazon Bedrock KB to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAmazon Bedrock KB + Mastra AI FAQ
Common questions about integrating Amazon Bedrock KB MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect Amazon Bedrock KB to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.