Datadog MCP Server for Google ADK 11 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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_agent",
instruction=(
"You help users interact with Datadog "
"using 11 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 infrastructure monitoring and log management 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 11 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
- Metric Auditing — Execute static queries targeting numeric telemetry datastores to resolve specific DDQL metrics objects generated dynamically
- Log Investigation — Perform structural extraction matching target string traces inside Datadog logs to evaluate status boundaries across your apps
- Monitor Management — Discover explicit system rule endpoints bounding configured triggers against alert metrics to verify health states
- Telemetry Extraction — Fetch timestamp arrays natively from numeric logged endpoints to analyze performance trends over specific time intervals
- Log Filtering — Apply ISO boundary mappings to compare logging payloads and identify exactly when errors or bottlenecks occurred
The Datadog MCP Server exposes 11 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.
How to Connect Datadog to Google ADK via MCP
Follow these steps to integrate the Datadog MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 11 tools from Datadog via MCP
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
Datadog MCP Tools for Google ADK (11)
These 11 tools become available when you connect Datadog to Google ADK via MCP:
get_dashboard
Resolves all widget configurations, template variables, and layout structures for visualization rendering. Get dashboard details
get_monitor
Resolves notification settings, threshold values, and historical status changes for the given monitor ID. Get monitor details
list_dashboards
Returns a list of dashboard identifiers, titles, layout types (timeboard/screenboard), and direct access URLs. List all dashboards
list_downtimes
Returns scope tags, recurring schedules, and current status to identify planned maintenance periods. List scheduled downtimes
list_events
Returns a collection of events including titles, priority levels, and source identifiers (e.g., monitor alerts, deployment events). List events
list_hosts
Returns host metadata including agent version, active tags, and associated cloud provider attributes. List infrastructure hosts
list_monitors
Filters results by operational state (alert, warn, no data, ok) and returns monitor metadata including type, query, and current status. List monitors by state
list_slos
Returns SLO definitions including target percentages, time windows, and current compliance status for monitor-based or metric-based objectives. List Service Level Objectives
mute_monitor
Interacts with the alerting boundary to set temporary silence periods, optionally with an automatic expiration timestamp. Mute a monitor
query_metrics
Resolves time-series data within the specified UNIX timestamp range. Returns metric points, scope tags, and unit metadata for infrastructure and application monitoring. Query time-series metrics
search_logs
Interacts with the log storage boundary to retrieve entries matching the query syntax, including timestamps, status levels, and structured attributes. Search application logs
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 me the CPU usage for 'web-server' over the last 30 minutes"
"Find logs with '500 Internal Server Error' from the last hour"
"Are there any active monitors in 'Alert' state?"
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.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Datadog 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 Datadog to Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.