Can my agent list all available search engines in Elastic?

Yes. Use the 'list_engines' tool. The agent iterates through your engine containers, managing logical indexing schemas and providing a complete map of your search spaces.

How do I index a batch of JSON documents via chat?

Use the 'index_documents' tool. Provide the engine name and a JSON array of your documents. The agent will command the bulk payload ingestion, triggering native pipeline mappings to store your data synchronously.

Can I check the search analytics for a specific engine through the agent?

Absolutely. The 'analytics' tool generates precise internal metric tracking for your engine. It will isolate usage insights and calculate click log data, allowing you to monitor search performance natively.

Elastic Enterprise Search MCP Server for Google ADK 6 tools — connect in under 2 minutes

Name: Elastic Enterprise Search
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Elastic Enterprise Search as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="elastic_enterprise_search_agent",
    instruction=(
        "You help users interact with Elastic Enterprise Search "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 Elastic Enterprise Search MCP Server

Connect your Elastic Enterprise Search deployment to any AI agent and take full control of your application search engines and workplace discovery through natural conversation.

Google ADK natively supports Elastic Enterprise Search as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Engine Orchestration — Iterate through explicit engine containers managing logical indexing schemas and search spaces completely
Search & Discovery — Resolve semantic or literal queries enforcing deep contextual matches against structured enterprise scopes seamlessly
Document Indexing — Command explicit bulk payload ingestions triggering native pipeline mappings to store and update document collections synchronously
Metadata Inspection — Analyze specific global bounds fetching discrete index layouts and extracting linguistic configuration nodes cleanly
Analytics Auditing — Generate precise internal metric tracking isolating usage insights and calculating exact click log data to monitor performance
Catalog Retrieval — Extract explicitly attached REST arrays mapping exact document payloads fetching physical raw records flawlessly

The Elastic Enterprise Search MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK 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 Elastic Enterprise Search to Google ADK via MCP

Follow these steps to integrate the Elastic Enterprise Search MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 6 tools from Elastic Enterprise Search via MCP

Why Use Google ADK with the Elastic Enterprise Search MCP Server

Google ADK provides unique advantages when paired with Elastic Enterprise Search through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Elastic Enterprise Search

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Elastic Enterprise Search tools with BigQuery, Vertex AI, and Cloud Functions

Elastic Enterprise Search + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Elastic Enterprise Search MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Elastic Enterprise Search and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Elastic Enterprise Search tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Elastic Enterprise Search regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Elastic Enterprise Search

Elastic Enterprise Search MCP Tools for Google ADK (6)

These 6 tools become available when you connect Elastic Enterprise Search to Google ADK via MCP:

analytics

Get search analytics

get_engine

Get engine

index_documents

Index newly created JSON documents targeting specific schemas

list_documents

List indexed documents in an engine

list_engines

List engines

search

Search documents within an engine

Example Prompts for Elastic Enterprise Search in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Elastic Enterprise Search immediately.

"List all search engines in my Elastic deployment"

"Search for 'api integration' in engine 'help-center-docs'"

"Show me search analytics for engine 'e-commerce-products'"

Troubleshooting Elastic Enterprise Search MCP Server with Google ADK

Common issues when connecting Elastic Enterprise Search to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Elastic Enterprise Search + Google ADK FAQ

Common questions about integrating Elastic Enterprise Search MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.