Datadog MCP Server for Google ADKGive Google ADK instant access to 16 tools to Check Datadog Status, Create Event, Get Dashboard, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Datadog as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Datadog app connector for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="datadog_extended_agent",
instruction=(
"You help users interact with Datadog "
"using 16 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Datadog as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 16 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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.
Verify connectivity
Create an event
Get dashboard details
Get incident details
Get monitor details
List dashboards
List events
List hosts
List incidents
List metrics
List monitors
List SLOs
Mute a monitor
Query metric data
Search logs
Search monitors
Connect Datadog to Google ADK via MCP
Follow these steps to wire Datadog into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Datadog MCP Server
Google ADK provides unique advantages when paired with Datadog through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Datadog
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Datadog tools with BigQuery, Vertex AI, and Cloud Functions
Datadog + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Datadog MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Datadog and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Datadog tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Datadog regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Datadog
Example Prompts for Datadog in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Datadog immediately.
"Show all monitors that are currently alerting and mute the noisiest one."
"Search for error logs in production from the last hour."
"List all SLOs and tell me which ones are at risk of breaching their error budget."
Troubleshooting Datadog MCP Server with Google ADK
Common issues when connecting Datadog to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDatadog + Google ADK FAQ
Common questions about integrating Datadog MCP Server with Google ADK.