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

Bring Llm Observability
to Cursor

Create your Vinkius account to connect Datadog AI (LLM Observability) to Cursor 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 Cursor?

Cursor's Agent mode turns Datadog AI (LLM Observability) into an in-editor superpower. Ask Cursor to generate code using live data from Datadog AI (LLM Observability) and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

  • Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

  • Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

  • MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

  • VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

Datadog AI (LLM Observability) in Cursor

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 Cursor 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 Cursor

Every request between Cursor 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

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

05

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

06

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

07

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

08

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

09

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

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