Elastic Security MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Elastic Security through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Elastic Security Assistant",
instructions=(
"You help users interact with Elastic Security. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Elastic Security"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Elastic Security through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Elastic Security, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Elastic Security MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Elastic Security
Why Use OpenAI Agents SDK with the Elastic Security MCP Server
OpenAI Agents SDK provides unique advantages when paired with Elastic Security through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Elastic Security + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Elastic Security MCP Server delivers measurable value.
Automated workflows: build agents that query Elastic Security, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Elastic Security, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Elastic Security tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Elastic Security to resolve tickets, look up records, and update statuses without human intervention
Elastic Security MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Elastic Security to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Elastic Security to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Elastic Security + OpenAI Agents SDK FAQ
Common questions about integrating Elastic Security MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Elastic Security with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Elastic Security to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.