Elastic Security MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Elastic Security as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Elastic Security. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Elastic Security?"
)
print(response)
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.
LlamaIndex agents combine Elastic Security tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Elastic Security MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Elastic Security
Why Use LlamaIndex with the Elastic Security MCP Server
LlamaIndex provides unique advantages when paired with Elastic Security through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Elastic Security tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Elastic Security tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Elastic Security, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Elastic Security tools were called, what data was returned, and how it influenced the final answer
Elastic Security + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Elastic Security MCP Server delivers measurable value.
Hybrid search: combine Elastic Security real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Elastic Security to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Elastic Security for fresh data
Analytical workflows: chain Elastic Security queries with LlamaIndex's data connectors to build multi-source analytical reports
Elastic Security MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Elastic Security to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Elastic Security to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpElastic Security + LlamaIndex FAQ
Common questions about integrating Elastic Security MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.