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Datadog MCP

  • 30 repo stars
  • Updated May 12, 2026
  • mcparmory/registry

Datadog is an MCP server that monitors infrastructure and tracks metrics, logs, events, and agent deployments in Datadog.

About

The Datadog MCP server gives coding agents programmatic access to observability workflows you already run in Datadog—checking metrics and logs, reviewing events, and handling agent or deployment tasks described in the registry. developers on Operate use it when a production issue needs fast correlation between repo changes and what Datadog shows, or when the agent helps tune monitors and deployment metadata. Install via stdio with the PyPI or OCI package and provide Datadog API and application keys with appropriate scopes. It complements the Datadog UI rather than replacing on-call runbooks; think agent-assisted investigation and infra touch-ups. Intermediate complexity reflects API key hygiene and knowing which Datadog endpoints your org exposes to automation.

  • Monitor infrastructure and track metrics, logs, and events in Datadog
  • Manage agents and deployments through MCP-exposed operations
  • mcparmory-datadog v1.0.3 with uvx or Docker stdio transport
  • Supports agents triaging outages and config drift without leaving the IDE
  • Published in mcparmory MCP registry from GitHub

Datadog MCP by the numbers

  • Data as of Aug 11, 2026 (Skillselion catalog sync)
terminal
claude mcp add mcparmory-datadog -- uvx mcparmory-datadog

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repo stars30
Packagemcparmory-datadog
TransportSTDIO
AuthNone
Last updatedMay 12, 2026
Repositorymcparmory/registry

What it does

Query metrics, logs, and events and manage Datadog agents or deployments from your coding agent in production.

Who is it for?

Best when you're already on Datadog and want Claude Code or Cursor to investigate alerts and manage agents alongside code fixes.

Skip if: Projects with no observability stack, or teams that forbid agents from holding production API keys.

What you get

Your agent can pull Datadog metrics, logs, and events and perform allowed agent or deployment actions through MCP for faster production debugging.

  • Agent access to Datadog metrics, logs, and events tooling
  • Operational hooks for agents and deployments as exposed by the server

By the numbers

  • Registry version 1.0.3
  • Capabilities span metrics, logs, events, agents, and deployments per description
  • Dual package distribution: PyPI uvx and OCI Docker
README.md

MCP Armory

MCP Armory Registry

Production-ready MCP servers for popular APIs, generated by MCP Blacksmith.

GitHub Stars License Servers Python 3.11+

Servers · Install & Usage · Features · How it works · License


MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.

Servers

🧠 AI & Machine LearningElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

📊 AnalyticsAhrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog

⛓️ Blockchain & CryptoAlchemy NFT

💼 CRM & SalesApollo

💬 CommunicationAtlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & DatabasesEnigma · Pinecone

🛠️ Developer ToolsAgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry

📄 Documents & PrintingPDF.co

🛒 E-commerceShopify Admin

💰 FinanceAlpha Vantage · Polygon · Ramp

👥 HR & RecruitingBambooHR

☁️ InfrastructureGlobalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & ComplianceNetLicensing

🗺️ Maps & LocationGoogle Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding

📣 MarketingCustomer.io Journeys Track · Klaviyo

🎬 Media & EntertainmentCanva · Perigon

ProductivityAirtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 SearchAlgolia Search · Google Search

📦 StorageBox · Files.com · Google Drive

📌 OtherClose

More servers are being added continuously.

Install & Usage

Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.

# With uvx (no install needed)
uvx mcparmory-github

# With pip
pip install mcparmory-github
mcparmory-github

MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):

{
  "mcpServers": {
    "github": {
      "command": "uvx",
      "args": ["mcparmory-github"],
      "env": {
        "BEARER_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Features

Every server in this registry provides:

  • Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
  • Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
  • Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
  • Pydantic validation — request parameters are validated before sending to the API
  • Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
  • Response sanitization — optional redaction of sensitive fields from API responses

How servers are generated

Servers are generated by MCP Blacksmith, an automated pipeline that:

  1. Parses an OpenAPI specification
  2. Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
  3. Generates a complete MCP server with auth, models, validation, and configuration
  4. Tests every tool against the live API using an autonomous agent
  5. Deploys passing servers to this registry

The generator targets Python 3.11+ and uses FastMCP as the MCP framework.

Contributing

Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:

  • Broken or deprecated endpoints
  • Missing or incorrect parameters
  • Authentication problems
  • Incorrect request/response models

We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.

License

Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.


MCP Armory · MCP Blacksmith · Docs

Recommended MCP Servers

How it compares

Datadog observability MCP bridge, not a local log tail or synthetic monitoring skill.

FAQ

Who is com.mcparmory/datadog for?

Developers and small teams running production on Datadog MCP who want agents to query telemetry and assist with agent or deployment management.

When should I use com.mcparmory/datadog?

Use it in operate and monitoring work when debugging live issues, reviewing logs and metrics, or adjusting Datadog MCP-related deployment configuration via an agent.

How do I add com.mcparmory/datadog to my agent?

Configure the MCP server with stdio, start mcparmory-datadog through uvx or the ghcr.io/mcparmory/datadog image, and supply Datadog MCP API and app keys securely.

Monitoringmonitoringinfra

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