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com.mcparmory/datadog MCP Server

com.mcparmory/datadog

Monitor infrastructure, manage agents, and track metrics, logs, and events with Datadog via MCP.

What is the com.mcparmory/datadog MCP server?

The Datadog MCP server connects AI agents to the Datadog monitoring and observability platform. It exposes Datadog's API as MCP tools, enabling agents to query metrics, logs, events, manage monitors, and oversee infrastructure and deployments programmatically.

This server provides full access to Datadog's monitoring, logging, and infrastructure management capabilities. Use it to query real-time metrics and logs, manage monitors and alerts, track deployments, and automate infrastructure observability tasks from your AI agent.

How to install com.mcparmory/datadog

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "datadog": {
      "command": "uvx",
      "args": [
        "mcparmory-datadog"
      ]
    }
  }
}

Use cases

  • Query infrastructure metrics and logs to diagnose performance issues
  • Manage Datadog monitors and alerts programmatically
  • Track deployment events and infrastructure changes
  • Retrieve and analyze metrics across your monitored services
  • Automate incident response and monitoring workflows

com.mcparmory/datadog MCP server FAQ

What is the Datadog MCP server?

It's an MCP server that connects AI agents to Datadog's monitoring and observability platform, exposing all Datadog API endpoints as tools for querying metrics, logs, events, and managing infrastructure.

Is it free to use?

The server itself is free and open-source (MIT License), but you need a Datadog account and API credentials to use it. Datadog's service has its own pricing.

How do I install it in Claude or Cursor?

Install via pip (pip install mcparmory-datadog) or use uvx (uvx mcparmory-datadog), then configure it in your MCP client settings with your Datadog API key and app key as environment variables.

What authentication does it require?

You need Datadog API credentials: an API key and app key. These are configured as environment variables when running the server.

Can I query metrics and logs?

Yes, the server exposes Datadog's full API, allowing you to query metrics, logs, events, and manage monitors and alerts.

What Python version is required?

Python 3.11 or higher is required to run this server.

README (reference)

Source of truth, from the repository.

<p align="center"> <img src="https://wjxawmrpsfuivlicnepc.supabase.co/storage/v1/object/public/newsletter/logo-armory-no-background.png" alt="MCP Armory" height="64"> </p> <h1 align="center">MCP Armory Registry</h1> <p align="center"> Production-ready MCP servers for popular APIs, generated by <a href="https://mcpblacksmith.com">MCP Blacksmith</a>. </p> <p align="center"> <a href="https://github.com/mcparmory/registry/stargazers"><img src="https://img.shields.io/github/stars/mcparmory/registry?style=flat&color=gold" alt="GitHub Stars"></a> <a href="https://github.com/mcparmory/registry/blob/main/servers/github/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="License"></a> <img src="https://img.shields.io/badge/servers-79-8A2BE2" alt="Servers"> <img src="https://img.shields.io/badge/python-3.11+-3776AB?logo=python&logoColor=white" alt="Python 3.11+"> </p> <p align="center"> <a href="#servers">Servers</a> &middot; <a href="#install--usage">Install & Usage</a> &middot; <a href="#features">Features</a> &middot; <a href="#how-servers-are-generated">How it works</a> &middot; <a href="#license">License</a> </p>

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:BEGIN -->

Servers

🧠 AI & Machine Learning   ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

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

⛓️ Blockchain & Crypto   Alchemy NFT

💼 CRM & Sales   Apollo

💬 Communication   Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & Databases   Enigma · Pinecone

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

📄 Documents & Printing   PDF.co

🛒 E-commerce   Shopify Admin

💰 Finance   Alpha Vantage · Polygon · Ramp

👥 HR & Recruiting   BambooHR

☁️ Infrastructure   Globalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & Compliance   NetLicensing

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

📣 Marketing   Customer.io Journeys Track · Klaviyo

🎬 Media & Entertainment   Canva · Perigon

✅ Productivity   Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 Search   Algolia Search · Google Search

📦 Storage   Box · Files.com · Google Drive

📌 Other   Close

More servers are being added continuously.

<!-- SERVERS:END -->

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.


<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> &middot; <a href="https://mcpblacksmith.com">MCP Blacksmith</a> &middot; <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>

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