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 AutoGen 6 tools — connect in under 2 minutes

Name: Elastic Enterprise Search
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Elastic Enterprise Search as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="elastic_enterprise_search_agent",
            tools=tools,
            system_message=(
                "You help users with Elastic Enterprise Search. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Elastic Enterprise Search tools. Connect 6 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 6 tools from Elastic Enterprise Search automatically

Why Use AutoGen with the Elastic Enterprise Search MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Elastic Enterprise Search tools to solve complex tasks

Role-based architecture lets you assign Elastic Enterprise Search tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Elastic Enterprise Search tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Elastic Enterprise Search tool responses in an isolated environment

Elastic Enterprise Search + AutoGen Use Cases

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

Collaborative analysis: one agent queries Elastic Enterprise Search while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Elastic Enterprise Search, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Elastic Enterprise Search data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Elastic Enterprise Search responses in a sandboxed execution environment

Elastic Enterprise Search MCP Tools for AutoGen (6)

These 6 tools become available when you connect Elastic Enterprise Search to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Elastic Enterprise Search + AutoGen FAQ

Common questions about integrating Elastic Enterprise Search MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Elastic Enterprise Search tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.