How to Use the Elastic Enterprise Search MCP in Mastra AI

Q: How do I connect Elastic Enterprise Search to Mastra AI?

Initialize MCPClient with your server URL, call listTools(), and spread the tools into your Mastra agent configuration.

Q: Can Mastra AI retry failed Elastic Enterprise Search queries?

Yes. If the search or indexdocuments tool hits a rate limit, the built-in workflow engine applies exponential backoff and tries again automatically.

Q: How does Mastra AI handle Elastic Enterprise Search analytics?

You can build a cron-triggered workflow that calls the analytics tool. The agent parses the top queries and routes the summary to your team.

Build resilient search workflows. Mastra AI connects to Elastic Enterprise Search for automated indexing and query retries.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Elastic Enterprise Search MCP to Mastra AI

Create your Vinkius account to connect Elastic Enterprise Search to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Elastic Enterprise Search with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated indexing workflows with Mastra AI

The `index_documents` tool becomes a node in your Mastra AI workflow. If a database sync fails, the framework catches the error and retries the ingestion with exponential backoff. You can chain this with `list_documents` to verify the payload landed correctly. The agent checks the engine, confirms the JSON document exists, and proceeds to the next step in your pipeline.

Inspect engines and route queries

The `get_engine` tool lets your agent read the schema before executing a query. If the schema doesn't match the expected format, the workflow branches and alerts an admin instead of crashing. Once verified, the agent fires the `search` tool. Mastra handles the HTTP transport automatically, keeping the connection stable even during heavy query loads.

Monitor search analytics autonomously

The `analytics` tool pulls click metrics and popular queries on a schedule. You can set up a Mastra workflow that runs every morning, grabs the data, and formats a performance report. If the analytics show a spike in zero-result searches, the agent triggers a fallback process. It uses `list_engines` to check for misconfigured indices and notifies your DevOps team.

Setup guide

Set up Elastic Enterprise Search MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Elastic Enterprise Search tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "elastic-enterprise-search-mcp-client",
  servers: {
    "elastic-enterprise-search-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Elastic Enterprise Search Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Elastic Enterprise Search tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Elastic Enterprise Search transactions"
);
console.log(result.text);

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 Elastic Enterprise Search. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Elastic Enterprise Search now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Elastic Enterprise Search MCP in Mastra AI

Initialize `MCPClient` with your server URL, call `listTools()`, and spread the tools into your Mastra agent configuration.

Yes. If the `search` or `index_documents` tool hits a rate limit, the built-in workflow engine applies exponential backoff and tries again automatically.

You can build a cron-triggered workflow that calls the `analytics` tool. The agent parses the top queries and routes the summary to your team.

No. Mastra auto-detects whether the MCP Server supports Server-Sent Events or Streamable HTTP and configures the connection for you.

The MCP gateway operates entirely ephemerally. When Mastra AI executes the `search` tool, your query strings and the returned JSON documents pass through a zero-trust sandbox that drops all memory after the request finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript