Bring Full Stack Monitoring
to Google ADK
Learn how to connect Datadog to Google ADK and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Datadog MCP Server?
Connect your Datadog account to any AI agent and take full control of your observability stack through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Datadog API Key and your site URL (e.g., https://api.datadoghq.com for US or https://api.datadoghq.eu for EU)
3. Start monitoring your infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- SRE / DevOps Engineers — query monitors, mute noisy alerts, and inspect incidents without opening the Datadog dashboard
- Platform Teams — run metric queries and validate SLO compliance through conversational AI
- On-Call Engineers — triage incidents, search error logs, and check host health during outages via natural language
Built-in capabilities (16)
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
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Datadog
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Datadog tools with BigQuery, Vertex AI, and Cloud Functions
Datadog in Google ADK
Datadog and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Datadog to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Datadog in Google ADK
The Datadog 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. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Datadog for Google ADK
Every tool call from Google ADK to the Datadog MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I silence noisy monitors during scheduled maintenance?
Yes. The mute_monitor action silences a specific monitor by its ID, suppressing all alert notifications. This is ideal during deployment windows or planned maintenance. Use search_monitors to find the monitor by name or tag first, then mute it by ID.
Does Datadog require two credentials to connect?
Yes. You need your API Key (found in Organization Settings > API Keys) and your Base URL, which depends on your Datadog site region: https://api.datadoghq.com for US1, https://api.datadoghq.eu for EU, or https://api.us3.datadoghq.com for US3. The API Key is sent via the DD-API-KEY header.
Can I run time-series metric queries with custom time ranges?
Yes. The query_metrics tool accepts a Datadog metric query string (e.g., avg:system.cpu.user{host:web-01}), a start epoch timestamp, and an end epoch timestamp. It returns the time-series data points for that metric across the specified window.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk