MCP Datadog Server

v1.0.0

Datadog

MCPmonitoringobservabilitymcpmodel-context-protocol
80
Strong
About This MCP

Official Datadog MCP server for observability and monitoring integration. Enables AI models to query metrics, logs, traces, dashboards, and alerts. Includes infrastructure monitoring, APM, and security monitoring. Essential for AI-powered observability, performance optimization, and incident management workflows.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
metrics query reliability

Query success rate testing

Evidence
Datadog API — Highly reliable metrics and time-series queries
highVerified: 2025-11-09
log search accuracy

Search accuracy testing

Evidence
Datadog Log Management — Powerful log search with indexing and analytics
highVerified: 2025-11-09
real time monitoring

Real-time monitoring testing

Evidence
Datadog Monitors — Real-time alerting and monitoring with low latency
highVerified: 2025-11-09
rate limit handling

Rate limiting behavior testing

Evidence
Datadog Rate Limits — Subject to API rate limits with per-endpoint quotas
mediumVerified: 2025-11-09
error recovery

Error handling testing

Evidence
Implementation Review — Handles API errors with exponential backoff and retry
highVerified: 2025-11-09
🛡️Security
+
authentication security

Authentication mechanism review

Evidence
Datadog Authentication — Uses API keys and application keys with scoped permissions
highVerified: 2025-11-09
api key exposure risk

Credential security analysis

Evidence
MCP Security Model — Datadog API keys stored locally; AI can access monitoring data
highVerified: 2025-11-09
infrastructure visibility risk

Visibility risk assessment

Evidence
Security Analysis — AI can access detailed infrastructure topology and configurations
highVerified: 2025-11-09
monitor modification control

Modification control testing

Evidence
Datadog API — Can create, modify, and mute monitors within permissions
mediumVerified: 2025-11-09
organization access control

Access control testing

Evidence
Datadog RBAC — Respects Datadog RBAC and team permissions
highVerified: 2025-11-09
audit logging

Audit logging review

Evidence
Datadog Audit Trail — Comprehensive audit logging for all API operations
highVerified: 2025-11-09
🔒Privacy & Compliance
+
metrics data exposure

Data flow analysis

Evidence
MCP Data Flow — Metrics, logs, and trace data sent to LLM provider
highVerified: 2025-11-09
log data privacy

Log privacy assessment

Evidence
Privacy Analysis — Application logs may contain PII, credentials, and sensitive data
highVerified: 2025-11-09
infrastructure metadata privacy

Infrastructure privacy assessment

Evidence
Privacy Analysis — Infrastructure topology and host information may be exposed
mediumVerified: 2025-11-09
third party data sharing

Data sharing analysis

Evidence
LLM Provider Policies — Monitoring data shared with LLM provider per their privacy policy
highVerified: 2025-11-09
trace data privacy

Trace privacy assessment

Evidence
Datadog APM — Distributed traces may contain request parameters and user identifiers
mediumVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Datadog MCP Docs — Comprehensive documentation from official Datadog team
highVerified: 2025-11-09
operation visibility

Logging and traceability assessment

Evidence
Datadog Audit Trail — All API operations logged in Datadog audit trail and MCP logs
highVerified: 2025-11-09
open source transparency

Source code review

Evidence
GitHub Repository — Open source implementation from Datadog
highVerified: 2025-11-09
api coverage clarity

API documentation review

Evidence
MCP Server Documentation — Clear documentation of supported Datadog operations
mediumVerified: 2025-11-09
⚙️Operational Excellence
+
ease of setup

Setup complexity assessment

Evidence
Setup Documentation — Simple setup requiring Datadog API and application keys
highVerified: 2025-11-09
api performance

Performance benchmarking

Evidence
Datadog API Performance — Fast API responses with global infrastructure (typically 100-500ms)
highVerified: 2025-11-09
reliability

Reliability analysis

Evidence
Datadog Infrastructure — Built on highly reliable Datadog infrastructure with 99.9%+ uptime
highVerified: 2025-11-09
operation coverage

Feature coverage assessment

Evidence
Datadog MCP Server — Covers metrics, logs, traces, dashboards, monitors, and infrastructure
highVerified: 2025-11-09
official support

Maintainer support assessment

Evidence
Datadog Team — Officially maintained by Datadog with active support
highVerified: 2025-11-09
Strengths
  • +Comprehensive observability platform (metrics, logs, traces, infrastructure)
  • +Official Datadog implementation with active support
  • +Highly reliable with 99.9%+ uptime on global infrastructure
  • +Excellent for AI-powered performance optimization and incident management
  • +Real-time alerting and monitoring with low latency
  • +Comprehensive audit logging for all operations
Limitations
  • !Metrics, logs, and trace data exposed to LLM provider
  • !Application logs may contain PII, credentials, and sensitive data
  • !Infrastructure topology and host information may be revealed
  • !Distributed traces may contain request parameters and user identifiers
  • !Subject to Datadog API rate limits
  • !Requires careful log scrubbing to avoid sensitive data exposure
Metadata
license: MIT
supported platforms
0: All platforms with Node.js/Python
programming languages
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/DataDog/datadog-mcp-server
api dependency: Datadog REST API
authentication: Datadog API Key and Application Key
first release: 2024-11
maintained by: Datadog

Use Case Ratings

code generation

Good for generating monitoring configurations and alert definitions

customer support

Useful for investigating customer-reported performance issues

content creation

Limited applicability for content workflows

data analysis

Excellent for infrastructure analytics, performance analysis, and trend detection

research assistant

Useful for researching system behavior and performance patterns

legal compliance

Risk of exposing infrastructure details and log data

healthcare

Risk of exposing PHI in application logs and traces

financial analysis

Moderate risk for financial infrastructure monitoring

education

Excellent for teaching observability and monitoring practices

creative writing

Low relevance to creative writing workflows