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Datadog MCP Server bridges your Datadog observability platform with AI assistants through the Model Context Protocol.

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Reviews on G2
699 reviews tracked

The Bottom Line

Price
Free, no paid tier. Compare plans

Key facts

  • MCP server connecting Datadog observability data to AI assistants like Claude and Cursor
  • Provides 12 tools for querying metrics, logs, monitors, SLOs, services, and CI/CD pipelines
  • Open-source npm package requiring Datadog API keys, read-only access to your monitoring stack

Pros

  • Covers the core Datadog workflow, metrics, logs, monitors, SLOs, and services in one server
  • Flexible querying with aggregation, grouping, and time-range filters for precise results
  • Open-source npm package with straightforward API key configuration
  • Works with Claude Desktop, Claude Code, Cursor, and other MCP clients
  • CI/CD pipeline fingerprints enable infrastructure-as-code workflows

Cons

  • Requires Datadog API and application keys, no standalone functionality
  • Read-only access, cannot create or modify monitors, dashboards, or alerts
  • Community-maintained package, not an official Datadog product
  • No dashboard or notebook content retrieval in the open-source version

What is Datadog MCP Server?

Editorial review
Datadog MCP Server bridges your Datadog observability platform with AI assistants through the Model Context Protocol. It gives LLMs like Claude structured access to metrics, logs, monitors, SLOs, service definitions, CI/CD pipelines, and team information, enabling natural language queries against your monitoring infrastructure. The server provides 12 core tools: listing and querying metrics with flexible aggregation and grouping, fetching service logs filtered by environment and time range, managing monitors and SLOs, retrieving service definitions with ownership metadata, listing CI pipelines with fingerprint extraction for Terraform, and viewing teams with member details. Each tool supports multiple output formats and filtering options. Available as an open-source npm package, the server connects to the Datadog API using your API and application keys. Datadog also offers official MCP Server documentation and LLM Observability features that trace MCP client calls with structured metadata about invoked tools, parameters, and responses. The server works with Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients, making it straightforward to investigate incidents, analyze metrics, or review service health through conversational AI.

Available on: Web

Ratings Across the Web

4.4 (699 reviews)

Datadog MCP Server holds an aggregate rating of 4.4 out of 5 from 699 reviews across G2, last checked May 29, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

  • Metric querying with custom time ranges, aggregation methods, filters, and grouping
  • Service log retrieval filtered by environment, log level, and time range
  • Monitor and SLO listing with tag-based and name-based filtering
  • Service definition access including metadata, ownership, and configuration details
  • CI/CD pipeline listing with fingerprint extraction for Terraform integration
  • Team and member information retrieval with multiple output formats
  • Metric field discovery, list all available tags and values for any metric
  • LLM Observability integration for tracing MCP client tool calls

Pricing Plans

Pricing checked Oct 8, 2026

Datadog MCP Server plans and prices, checked October 2026
PlanPriceDetails
Open Source

Free

  • Full source code access
  • Community support
  • Self-hosted

Is Datadog MCP Server worth the price?

Great value

The Datadog MCP Server pricing is exceptionally generous as it is entirely free and open-source.

This makes it an incredibly fair option, especially for those who can self-host and leverage community support. It's best for developers, small teams, or organizations with the technical expertise to manage their own infrastructure and who prioritize cost savings.

Full Datadog MCP Server pricing: every plan, hidden costs and alternatives

Reviews

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4.4/5

Across 699 verified user reviews on G2

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Datadog MCP Server FAQ

Can Datadog MCP Server create or modify monitors and dashboards?

No. The open-source MCP server provides read-only access to metrics, logs, monitors, SLOs, services, and CI/CD pipelines. You can query and analyze data but cannot create alerts, modify dashboards, or change monitor configurations through the server.

Does it work with Datadog EU or other regions?

Yes. You configure the Datadog API endpoint via the DD_SITE environment variable. Set it to datadoghq.eu for EU, us3.datadoghq.com for US3, us5.datadoghq.com for US5, or ddog-gov.com for government deployments.

What permissions do the API keys need?

You need a Datadog API key (for authentication) and an application key (for authorization). The application key inherits the permissions of the user who created it. For full functionality, the user should have read access to metrics, logs, monitors, SLOs, and service catalog.

Is this an official Datadog product?

The npm package (@anthropic-ai/mcp-server-datadog) is community-maintained, not an official Datadog product. However, Datadog has published official MCP Server documentation and integrates MCP tracing into their LLM Observability product for monitoring MCP client calls.

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