Geli2001 Datadog MCP Server
G

Geli2001 Datadog MCP Server

Datadog's MCP service interface tool
2 points
9.6K

What is Datadog MCP Server?

The Datadog MCP Server provides a simplified way to access Datadog's monitoring capabilities through a standardized protocol. It allows you to query monitors, dashboards, metrics, events, logs and incidents without needing to directly use Datadog's API.

How to use Datadog MCP Server?

You can install it as a global npm package or run it directly. After providing your Datadog API keys, you can access all features through simple JSON requests.

Use Cases

Ideal for teams who want to integrate Datadog monitoring into their existing tools or workflows without complex API integration. Useful for creating custom dashboards, automated alert responses, and log analysis workflows.

Key Features

Monitoring Access
View and manage all your Datadog monitors and alert configurations
Dashboard Integration
Retrieve complete dashboard definitions including widgets and layouts
Metrics Query
Access metric data and metadata with flexible query options
Log Search
Powerful log searching with filtering, sorting and aggregation capabilities
Incident Management
View and manage active incidents with filtering options
Advantages
Simplified access to Datadog features without deep API knowledge
Standardized protocol works with various MCP-compatible tools
Comprehensive error handling with clear messages
Supports both v1 and v2 Datadog APIs
Limitations
Requires valid Datadog API keys with appropriate permissions
Limited to functionality exposed through the MCP interface
Performance depends on Datadog API response times

Getting Started

Install the Server
Install the package globally using npm or yarn
Configure Authentication
Set up your Datadog API keys either through environment variables or command line arguments
Run the Server
Start the server with your configuration
Connect Your Client
Configure your MCP client (like Claude Desktop) to connect to the running server

Example Use Cases

Checking Active Alerts
Quickly view all currently active alerts in your system
Error Log Analysis
Analyze recent error logs from a specific service
Dashboard Retrieval
Get the complete definition of a dashboard for documentation

Frequently Asked Questions

Where do I get my Datadog API keys?
What should I do if I get a 403 error?
Can I use this with Datadog EU sites?
How do I view the server logs?

Additional Resources

Datadog API Documentation
Official Datadog API reference
MCP Protocol Specification
Details about the Model Context Protocol standard
GitHub Repository
Source code and issue tracking
Claude Desktop
MCP-compatible client application

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": [
        "datadog-mcp-server",
        "--apiKey",
        "<YOUR_API_KEY>",
        "--appKey",
        "<YOUR_APP_KEY>",
        "--site",
        "<YOUR_DD_SITE>(e.g us5.datadoghq.com)"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.6K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.3K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.0K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase