Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Datadog with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Monitor LLM performance via Datadog. track token usage, audit prompts, and monitor AI model metrics directly from any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Datadog capability set.

These are the exact actions your AI can choose when you ask it to work with Datadog.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Datadog.

  1. 01

    List events

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

  2. 02

    List incidents

    Dispatch an automated validation check routing explicit Gateway history

  3. 03

    Query metrics

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

  4. 04

    Submit series

    Perform structural extraction of properties driving active Account logic

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Datadog.

  1. 05

    List AI monitors

    Retrieve explicit Cloud logging tracing explicit Vault limits

  2. 06

    List dashboards

    Enumerate explicitly attached structured rules exporting active Billing

  3. 07

    List service accounts

    Identify precise active arrays spanning native Hold parsing

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Datadog.

  1. 08

    Search llm spans

    Provision a highly-available JSON Payload generating hard Customer bindings

  2. 09

    Create event

    Inspect deep internal arrays mitigating specific Plan Math

  3. 10

    Create monitor

    Irreversibly vaporize explicit validations extracting rich Churn flags

Observed, not estimated

832ms average. Fast in production.

Datadog is checked daily against the live service.

Daily averagePeak 1030ms
Aug 20Today
Fastest day
712ms
Slowest day
1030ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Datadog, so you can see the experience inside your AI.

It does not authenticate your account with Datadog. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Datadog Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_bWdhwHEHDioKsLvhV1Lvv7ec4t2gm8k5cIgCZeWx/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Datadog capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "datadog-ai-llm-observability-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bWdhwHEHDioKsLvhV1Lvv7ec4t2gm8k5cIgCZeWx/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Datadog owners ask.

  • 01

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

    Yes. Use the 'query_metrics' capability 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' capability. 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' capability 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.

Explore

More in AI Frontier

Suggestions