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.
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
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.
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.
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.
You need Datadog API credentials: an API key and app key. These are configured as environment variables when running the server.
Yes, the server exposes Datadog's full API, allowing you to query metrics, logs, events, and manage monitors and alerts.
Python 3.11 or higher is required to run this server.
README (reference)
Source of truth, from the repository.
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:
- Parses an OpenAPI specification
- Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
- Generates a complete MCP server with auth, models, validation, and configuration
- Tests every tool against the live API using an autonomous agent
- 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> · <a href="https://mcpblacksmith.com">MCP Blacksmith</a> · <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>
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