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Bloomreach MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Bloomreach through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "bloomreach": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Bloomreach Agent",
    instructions:
      "You help users interact with Bloomreach " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Bloomreach?"
  );
  console.log(result.text);
}

main();
Bloomreach
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Bloomreach MCP Server

Connect your Bloomreach Engagement account to any AI agent and orchestrate your marketing automation and data workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Bloomreach tool infrastructure. Connect 10 tools through 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

  • Catalog Oversight — List and retrieve items from your data catalogs to ensure product and metadata accuracy.
  • Campaign Management — Query and monitor marketing campaigns to track outreach and performance.
  • Customer Segmentation — Access and list customer segments and segmentations for targeted marketing analysis.
  • Event Tracking Discovery — List all tracked event types to understand your data collection footprint.
  • Attribute & Property Auditing — Retrieve configured customer attributes and catalog properties.
  • Webhook Monitoring — List configured webhooks to verify real-time data integrations.

The Bloomreach MCP Server exposes 10 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 Bloomreach to Mastra AI via MCP

Follow these steps to integrate the Bloomreach MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Bloomreach via MCP

Why Use Mastra AI with the Bloomreach MCP Server

Mastra AI provides unique advantages when paired with Bloomreach through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Bloomreach without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Bloomreach tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Bloomreach + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Bloomreach MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Bloomreach, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Bloomreach as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Bloomreach on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Bloomreach tools alongside other MCP servers

Bloomreach MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Bloomreach to Mastra AI via MCP:

01

get_catalog_items

Retrieve items from a specific data catalog

02

get_customer_properties

Export properties for a specific registered customer

03

list_attributes

List all customer attributes

04

list_campaigns

List all marketing campaigns

05

list_catalogs

List all Bloomreach data catalogs

06

list_event_types

List all tracked event types

07

list_properties

List all catalog properties

08

list_segmentations

List all customer segmentations

09

list_segments

List all customer segments

10

list_webhooks

List configured webhooks

Example Prompts for Bloomreach in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Bloomreach immediately.

01

"List all active marketing campaigns in Bloomreach."

02

"Show me the items in the 'Top Products' catalog."

03

"List all customer segments."

Troubleshooting Bloomreach MCP Server with Mastra AI

Common issues when connecting Bloomreach to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Bloomreach + Mastra AI FAQ

Common questions about integrating Bloomreach MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Bloomreach to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.