Datadog Cloud SIEM MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Datadog Cloud SIEM through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"datadog-cloud-siem": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Datadog Cloud SIEM Agent",
instructions:
"You help users interact with Datadog Cloud SIEM " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Datadog Cloud SIEM?"
);
console.log(result.text);
}
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 Datadog Cloud SIEM MCP Server
Connect your Datadog security module to any AI agent and take full control of your Cloud SIEM and threat hunting workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Datadog Cloud SIEM tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Security Signal Search — Execute ingestion searches returning critical threats detected by Datadog SIEM, CSPM, and CWS matching MITRE ATT&CK vectors
- Signal Triaging — Update the state of active threat alerts, transitioning signals from open to archived with audited false-positive justifications
- Detection Rule Management — List and retrieve exact logic for security rules identifying AWS CloudTrail deviations or Kubernetes root escalations
- Rule Orchestration — Construct new Cloud SIEM Log Detection rules by pushing raw name/message fields and specific Lucene query bindings
- Threat Hunting — Directly query raw Datadog logs with a 10s lookbehind to capture highly localized context matching malicious source IPs
- Security Filter Auditing — Retrieve global exclusion policies mapping to SIEM log pipelines to verify which low-value vectors are blocked
The Datadog Cloud SIEM MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 Datadog Cloud SIEM to Mastra AI via MCP
Follow these steps to integrate the Datadog Cloud SIEM MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Datadog Cloud SIEM via MCP
Why Use Mastra AI with the Datadog Cloud SIEM MCP Server
Mastra AI provides unique advantages when paired with Datadog Cloud SIEM through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Datadog Cloud SIEM without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Datadog Cloud SIEM tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Datadog Cloud SIEM + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Datadog Cloud SIEM MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Datadog Cloud SIEM, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Datadog Cloud SIEM as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Datadog Cloud SIEM on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Datadog Cloud SIEM tools alongside other MCP servers
Datadog Cloud SIEM MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Datadog Cloud SIEM to Mastra AI via MCP:
create_detection_rule
Accepts raw name/message fields, specific Lucene query bindings filtering for malicious activity, and severity levels (info, low, medium, high, critical). Auto-activates upon creation. Construct a new Cloud SIEM Log Detection Rule
delete_detection_rule
Irreversible action. Pre-packaged rules provided by Datadog typically cannot be outright deleted (only disabled), making this primarily for user-created custom JSON rules. Permanently delete a Datadog Security Detection Rule
get_detection_rule
g. > 5 occurrences in 5 mins), severity bindings, tagging matrices, and Notification routing hooks tying into PagerDuty or Slack. Retrieve the exact logic/queries for a specific Detection Rule
get_raw_log_context
Use this immediately after verifying an attacker footprint. Additional threat hunt tool extracting exact log bounds (100 msgs)
list_detection_rules
Verifies the existence of proactive detections identifying AWS CloudTrail deviations, GCP anomalous IAM usage, and Kubernetes root escalations. List configured Datadog Security Detection Rules
list_security_filters
These filters inherently block high-volume, low-value logging vectors from ever reaching the SIEM evaluation engine in order to preserve compute budgets. List Security Filter configurations
search_raw_logs
Essential for rapid Threat Hunting before detection rules alert. Useful for extracting contextual VPC Flow Logs or application stack traces related to an active breach. Directly query raw Datadog Logs over the past 15/m for Threat Hunting
search_signals
Use lucene-based queries like "status:critical OR @usr.id:admin" to filter high severity indicators mapping to MITRE ATT&CK vectors. Search Cloud SIEM Security Signals (Alerts) over the last 24h
security_system_ping
Test API authentication validity against the Security Module
triage_signal
Transition signals directly from "open" to "archived", or from "archived" back to "open". If archiving, an official reason (e.g. "false_positive" or "testing_or_maintenance") must be assigned. Modify the state of a Datadog SIEM Security Signal
Example Prompts for Datadog Cloud SIEM in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Datadog Cloud SIEM immediately.
"List all critical security signals from the last 24h"
"Search logs for IP '1.2.3.4' to hunt for threats"
"Archive security signal 'sig_123' as a false positive"
Troubleshooting Datadog Cloud SIEM MCP Server with Mastra AI
Common issues when connecting Datadog Cloud SIEM to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDatadog Cloud SIEM + Mastra AI FAQ
Common questions about integrating Datadog Cloud SIEM MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Datadog Cloud SIEM with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Datadog Cloud SIEM to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
