Datadog AI (LLM Observability) MCP Server
Monitor LLM performance via Datadog — track token usage, audit prompts, and monitor AI model metrics directly from any AI agent.
Ask AI about this MCP Server
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What is the Datadog MCP Server?
The Datadog MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Datadog via 10 tools. Monitor LLM performance via Datadog — track token usage, audit prompts, and monitor AI model metrics directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Datadog
Ask your AI agent "Show me the average token usage for GPT-4 over the last hour" and get the answer without opening a single dashboard. With 10 tools connected to real Datadog data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents 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 and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Datadog AI (LLM Observability) MCP Server capabilities
10 toolsInspect deep internal arrays mitigating specific Plan Math
Irreversibly vaporize explicit validations extracting rich Churn flags
Retrieve explicit Cloud logging tracing explicit Vault limits
Enumerate explicitly attached structured rules exporting active Billing
0 deployed". Identify precise active arrays spanning native Gateway auth
Dispatch an automated validation check routing explicit Gateway history
Identify precise active arrays spanning native Hold parsing
g `datadog.llm_observability.tokens`. Identify bounded CRM records inside the Headless Datadog Platform
Provision a highly-available JSON Payload generating hard Customer bindings
Perform structural extraction of properties driving active Account logic
What the Datadog AI (LLM Observability) MCP Server unlocks
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
Frequently asked questions about the Datadog AI (LLM Observability) MCP Server
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.
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.
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.
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Connect Datadog AI (LLM Observability) 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.
Give your AI agents the power of Datadog MCP Server
Production-grade Datadog AI (LLM Observability) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.