Elastic Security MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Elastic Security through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Elastic Security, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Elastic Security tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Elastic Security MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Elastic Security and passes them to the LLM
Why Use Vercel AI SDK with the Elastic Security MCP Server
Vercel AI SDK provides unique advantages when paired with Elastic Security through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Elastic Security integration everywhere
Built-in streaming UI primitives let you display Elastic Security tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Elastic Security + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Elastic Security MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Elastic Security in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Elastic Security tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Elastic Security capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Elastic Security through natural language queries
Elastic Security MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Elastic Security to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Elastic Security to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpElastic Security + Vercel AI SDK FAQ
Common questions about integrating Elastic Security MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.