Can my agent list all detection rules currently active in my SIEM?

Yes. Use the 'list_detection_rules' tool. It returns both custom rules and Elastic prepackaged ML algorithms, which is vital for mapping your MITRE ATT&CK coverage.

How do I whitelist a hostname to resolve a false positive via chat?

Use the 'add_exception' mutation. Provide the Exception List ID and the hostname string. The agent will update the container, implicitly ignoring telemetry matched on this host for any bound rule.

Can I search for security alerts (Signals) using KQL through the agent?

Absolutely. The 'search_signals' tool allows you to retrieve critical alert logs. You can provide an optional KQL query to filter for specific users, hostnames, or process trees within your security telemetry.

Elastic Security MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Elastic Security
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Elastic Security through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "elastic-security": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Elastic Security, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Elastic Security MCP Server

Connect your Elastic Security (SIEM) deployment to any AI agent and take full control of your threat detection and SOC auditing through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Elastic Security through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Detection Rule Orchestration — List all configured detection rules and retrieve exact EQL or KQL statements to map MITRE ATT&CK coverage natively
Live Alert Auditing — Search raw generated security signals (alerts) consolidating hostname, user profiles, and IP geolocations into a single view
Rule Lifecycle Management — Create new custom log detection rules or irreversibly purge custom logic from the Kibana SIEM engine to tune your environment
Exception & Whitelisting — List global exception lists and whitelist hostnames inside existing containers to resolve false positives and noise in real-time
Threat Intel Verification — Search for specific rules by name, tag, or MITRE tactic to expedite SOC auditing for newly reported CVEs or ransomware
State Control — Enable or disable existing detection rules to manage noisy triggers across large organizational units seamlessly
System Health Checks — Verify if official Elastic prepackaged rules need updates to ensure lack of latest official threat models is addressed

The Elastic Security MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Security to LangChain via MCP

Follow these steps to integrate the Elastic Security MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Elastic Security via MCP

Why Use LangChain with the Elastic Security MCP Server

LangChain provides unique advantages when paired with Elastic Security through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Elastic Security MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Elastic Security queries for multi-turn workflows

Elastic Security + LangChain Use Cases

Practical scenarios where LangChain combined with the Elastic Security MCP Server delivers measurable value.

RAG with live data: combine Elastic Security tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Elastic Security, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Elastic Security tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Elastic Security tool call, measure latency, and optimize your agent's performance

Elastic Security MCP Tools for LangChain (10)

These 10 tools become available when you connect Elastic Security to LangChain via MCP:

add_exception

name value to the target exception container, implicitly ignoring telemetry matched on this field for any rule bound to the list. Use explicitly to resolve false positives. Whitelist a hostname inside an existing Exception List

create_rule

Defines immediate risk scores multiplying against asset valuations, generating Elastic Signals tracking MITRE TTPs upon match. Create a new Log Detection Rule tracking malicious Elastic telemetry

delete_rule

Cannot be applied to Elastic Pre-built rules which are managed globally via package updates. Irreversible. Hard-delete a custom Elastic detection rule completely

find_detection_rules

Expedites SOC auditing when evaluating coverage for newly reported CVEs or specific localized threats. Search for specific Elastic rules by name, tag or MITRE tactic

get_prepackaged_rules_status

Identifies if the environment is lacking the latest official threat models targeting Windows, Linux, and Cloud environments. Check if official Elastic prepackaged rules need updates

get_rule

Displays run intervals, severity assignment, index scopes, and explicit reference URLs matching threat intel reports. Get exact details, intervals, and query logic for a distinct Rule

list_detection_rules

g., logs-endpoint*, winlogbeat*). Vital for mapping MITRE ATT&CK coverage against the Elastic schema. List all detection rules configured within the Elastic SIEM

list_exceptions

These lists logically bypass specific rules, preventing SIEM alerts from triggering on known-good administrative behavior like vulnerability scanners. List global exception lists managing detection bypass logic

search_signals

Signals consolidate the triggering payload structure, enriching it with Hostname, User profiles, IP geolocations, and process trees. Search raw generated Elastic Security alerts (Signals)

update_rule

Used explicitly to disable noisy rules triggering false positives across large organizational units, or to re-enable them post-tuning. Enable or Disable an existing Elastic Detection Rule

Example Prompts for Elastic Security in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Elastic Security immediately.

"Show me all active detection rules tagged with 'Ransomware'"

"Add hostname 'dev-machine-01' to exception list 'global-whitelist'"

"Search for security signals from user 'admin_root' in the last hour"

Troubleshooting Elastic Security MCP Server with LangChain

Common issues when connecting Elastic Security to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Elastic Security + LangChain FAQ

Common questions about integrating Elastic Security MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.