Datadog
Industry Definition Set • Entity Resolution Path: /glossary/mcp-datadog
Quick Answer / TL;DR
The Datadog MCP server enables AI agents to query metrics, manage monitors, and retrieve logs from Datadog.
Key Takeaways
- Query metrics and events
- List and manage monitors
- Get logs from Datadog
- Create alerts for anomalies
Definitive Statement: The Datadog MCP server enables AI agents to query metrics, manage monitors, and retrieve logs from Datadog.
Technical Context & Protocol Usage
- Detailed Explanation
- This server exposes tools for `query_metrics`, `list_monitors`, `get_logs`, and `create_alert`. It uses the Datadog API and supports API key authentication. The server is useful for AI-driven incident response and infrastructure monitoring.
Format & Payload Metadata
Format: JSON-RPC 2.0
Latency: Depends on Datadog API; typically 100-500ms
Real-World Implementation Use Case
An AI agent queries Datadog for latency of a service and creates an alert if it spikes.
Cite This Page
MLA Style:
MCPserver.in Engineering. "Datadog." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/mcp-datadog.
Related Terms
Model Context Protocol (MCP)
An open, secure protocol that standardizes how artificial intelligence agents and large language models (LLMs) exchange context, tools, prompts, and data resources with external servers.
JSON-RPC 2.0
A lightweight, stateless remote procedure call (RPC) protocol defined in JSON that utilizes request, response, and notification message frames.
Stdio Transport (Standard Input/Output)
A local-only transport mechanism where the AI client spawns the MCP server as a child process and communicates via standard input (stdin) and standard output (stdout) channels.
SSE Transport (Server-Sent Events)
A lightweight, unidirectional HTTP-based streaming protocol used by remote MCP servers to push messages to AI clients, with client-to-server writes sent over standard POST requests.
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