4,000+ servers built on MCP Fusion
Vinkius
Google ADKSDK
Google ADK
Why use Datadog AI (LLM Observability) MCP Server with Google ADK?

Bring Llm Observability
to Google ADK

Create your Vinkius account to connect Datadog AI (LLM Observability) to Google ADK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Create EventCreate MonitorList Ai MonitorsList DashboardsList EventsList IncidentsList Service AccountsQuery MetricsSearch Llm SpansSubmit Series
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Datadog AI (LLM Observability)

What is the Datadog AI (LLM Observability) MCP Server?

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

What you can do

  • LLM Metrics Auditing — Query high-precision numeric telemetry targeting LLM Observability timeseries like token counts and latency
  • Prompt & Span Search — Retrieve explicit APM payload contents capturing literal prompt logic and response traces limitlessly
  • AI Monitor Management — List and create monitors to track when AI responses drop below SLI thresholds or plateau on requests
  • Dashboard Insights — Enumerate widgets graphing global AI expenses across providers like OpenAI or Anthropic
  • Incident Tracking — Monitor active outages and service disruptions blocking multi-agent orchestration dynamically
  • Timeline Events — Pull pure textual deployment marks identifying exactly when dynamic LLM models were switched

How it works

  1. Subscribe to this server
  2. Enter your Datadog API Key, APP Key, and Site
  3. Start monitoring your AI infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Engineers — monitor LLM latencies and token costs in real-time without leaving the dev environment
  • MLOps Teams — audit prompt logs and trace AI model performance across different versions
  • SREs — set up monitors for AI services and track incidents affecting agentic workflows
  • FinOps — analyze dashboards graphing global AI infrastructure expenses and usage patterns

Built-in capabilities (10)

create_event

Inspect deep internal arrays mitigating specific Plan Math

create_monitor

Irreversibly vaporize explicit validations extracting rich Churn flags

list_ai_monitors

Retrieve explicit Cloud logging tracing explicit Vault limits

list_dashboards

Enumerate explicitly attached structured rules exporting active Billing

list_events

0 deployed". Identify precise active arrays spanning native Gateway auth

list_incidents

Dispatch an automated validation check routing explicit Gateway history

list_service_accounts

Identify precise active arrays spanning native Hold parsing

query_metrics

g `datadog.llm_observability.tokens`. Identify bounded CRM records inside the Headless Datadog Platform

search_llm_spans

Provision a highly-available JSON Payload generating hard Customer bindings

submit_series

Perform structural extraction of properties driving active Account logic

Why Google ADK?

Google ADK natively supports Datadog AI (LLM Observability) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • 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 AI (LLM Observability)

  • 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 AI (LLM Observability) tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

Datadog AI (LLM Observability) in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Datadog AI (LLM Observability) with Vinkius?

The Datadog AI (LLM Observability) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Datadog AI (LLM Observability)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Datadog AI (LLM Observability) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Datadog AI (LLM Observability) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Datadog AI (LLM Observability) to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Datadog AI (LLM Observability) for Google ADK

Every request between Google ADK and Datadog AI (LLM Observability) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my agent check token usage for a specific LLM model?

Yes. Use the 'query_metrics' tool with a query like 'avg:datadog.llm_observability.tokens{model:gpt-4}'. The agent will retrieve the numeric timeseries data directly from Datadog's metrics engine.

02

How do I search for specific prompt text in my logs?

Use the 'search_llm_spans' tool. Provide a search query matching your prompt identifiers. The agent will pull the explicit REST maps capturing the literal prompt logic text from your Datadog logs.

03

Can I see if there are any active incidents affecting my AI services?

Absolutely. The 'list_incidents' tool tracks outages and service disruptions in real-time. This allows your agent to identify exactly which external factors might be blocking your multi-agent orchestration pipelines.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk

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