datadog-mcp
OfficialQuery Datadog via MCP without context switching.
AuthorCogni-AI-OU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Datadog telemetry retrieval often forces agents to switch context between tools or open UIs, wasting tokens and time while reducing reproducibility.
Core Features & Use Cases
- Minimal toolset querying: Selects the narrowest Datadog MCP toolset needed (e.g.,
apm,alerting,llmobs) to reduce context window impact. - Telemetry domains coverage: Supports logs, metrics, traces, monitors, incidents, services, and more through task-appropriate MCP toolsets.
- MCP-only discipline: Enforces MCP exclusivity for standard observability retrieval to avoid SSH, UI navigation, and raw API/curl-style fallbacks.
Quick Start
Use the datadog-mcp skill to analyze APM traces for a suspected performance regression by loading the apm toolset and querying spans relevant to the time window and service impacted.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: datadog-mcp Download link: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/archive/main.zip#datadog-mcp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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