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Datadog MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 16 tools to Check Datadog Status, Create Event, Get Dashboard, and more

Built by Vinkius GDPR 16 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Datadog through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Datadog app connector for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 16 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Datadog Assistant",
            instructions=(
                "You help users interact with Datadog. "
                "You have access to 16 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Datadog"
        )
        print(result.final_output)

asyncio.run(main())
Datadog
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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 Datadog MCP Server

Connect your Datadog account to any AI agent and take full control of your observability stack through natural conversation.

The OpenAI Agents SDK auto-discovers all 16 tools from Datadog through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Datadog, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Monitor Management — List, search, inspect, and mute monitors to control alert noise during maintenance windows
  • Dashboard Inspection — Browse dashboards and retrieve full layouts, widgets, and template variables
  • Metric Queries — Run time-series queries using Datadog syntax (e.g., avg:system.cpu.user{*}) with custom time ranges
  • Log Search — Search log events using Datadog query syntax across all indexed log sources
  • Event Tracking — Browse platform events and create custom events with tags and priority levels
  • Incident Management — List active incidents with severity, status, responders, and timeline details
  • SLO Monitoring — Review Service Level Objectives with targets, error budgets, and compliance status
  • Host Inventory — Access all reporting hosts with metadata, tags, and agent versions

The Datadog MCP Server exposes 16 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.

All 16 Datadog tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Datadog through Vinkius, your AI agent gets direct access to every tool listed below — spanning full-stack-monitoring, infrastructure-metrics, log-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_datadog_status

Verify connectivity

create_event

Create an event

get_dashboard

Get dashboard details

get_incident

Get incident details

get_monitor

Get monitor details

list_dashboards

List dashboards

list_events

List events

list_hosts

List hosts

list_incidents

List incidents

list_metrics

List metrics

list_monitors

List monitors

list_slos

List SLOs

mute_monitor

Mute a monitor

query_metrics

Query metric data

search_logs

Search logs

search_monitors

Search monitors

Connect Datadog to OpenAI Agents SDK via MCP

Follow these steps to wire Datadog into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 16 tools from Datadog

Why Use OpenAI Agents SDK with the Datadog MCP Server

OpenAI Agents SDK provides unique advantages when paired with Datadog through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Datadog + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Datadog MCP Server delivers measurable value.

01

Automated workflows: build agents that query Datadog, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Datadog, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Datadog tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Datadog to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Datadog in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Datadog immediately.

01

"Show all monitors that are currently alerting and mute the noisiest one."

02

"Search for error logs in production from the last hour."

03

"List all SLOs and tell me which ones are at risk of breaching their error budget."

Troubleshooting Datadog MCP Server with OpenAI Agents SDK

Common issues when connecting Datadog to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Datadog + OpenAI Agents SDK FAQ

Common questions about integrating Datadog MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.