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Translates MCP tool calls into authenticated Datadog API requests, handling query parameter serialization, time window specification, and metric aggregation options. Returns structured time-series data with timestamps and values for downstream analysis or visualization.","intents":["Query CPU, memory, and custom metrics from production systems without leaving Claude","Retrieve historical metric data for a specific time range to diagnose performance issues","Aggregate metrics across multiple hosts or services to identify patterns"],"best_for":["DevOps engineers debugging production issues in real-time with Claude assistance","SREs building incident response workflows that need live metric context","Platform teams automating observability queries into LLM-driven dashboards"],"limitations":["Query latency depends on Datadog API response time (typically 1-3 seconds); not suitable for sub-second metric polling","Metric retention and granularity limited by Datadog subscription tier; custom metrics may have 15-minute minimum granularity","No built-in caching — repeated queries for identical time windows re-hit the API"],"requires":["Datadog API key and app key (from Datadog account settings)","Network access to Datadog API endpoints (api.datadoghq.com or regional variant)","MCP client supporting tool calling (Claude 3.5+, or compatible MCP host)"],"input_types":["metric name (string)","time range (ISO 8601 timestamps or relative strings like '1h ago')","aggregation function (avg, sum, max, min, etc.)","scope/filter (host tags, service names)"],"output_types":["JSON time-series data with timestamp and value pairs","Aggregated scalar values","Metric metadata (units, tags, host information)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_1","uri":"capability://tool.use.integration.monitor.listing.and.status.retrieval.with.filtering","name":"monitor listing and status retrieval with filtering","description":"Enumerates all monitors configured in a Datadog account and retrieves their current status, alert state, and configuration details. Implements pagination to handle accounts with hundreds of monitors, supports filtering by monitor type (metric, log, APM, etc.), status, and tags. Returns structured monitor metadata including thresholds, notification channels, and last-triggered timestamps for decision-making.","intents":["List all active monitors to understand what's being watched in production","Find monitors related to a specific service or component by tag filtering","Check if a monitor is currently alerting and retrieve its alert message"],"best_for":["On-call engineers quickly assessing monitor coverage during incidents","Automation engineers building monitor-aware incident response workflows","Teams auditing monitor configuration and coverage across environments"],"limitations":["Pagination required for accounts with >100 monitors; default page size may require multiple API calls","Monitor status is point-in-time; does not stream real-time alert state changes","Complex monitor configurations (composite monitors, custom metrics) may have truncated descriptions in list view"],"requires":["Datadog API key and app key","Read permissions on monitors in Datadog RBAC","MCP client with tool calling support"],"input_types":["filter criteria (optional): monitor type, status, tags","pagination parameters (optional): page number, limit"],"output_types":["JSON array of monitor objects with id, name, type, status, tags, thresholds","Alert state and last-triggered timestamp","Notification channel configuration"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_2","uri":"capability://tool.use.integration.log.search.with.full.text.and.structured.filtering","name":"log search with full-text and structured filtering","description":"Executes log queries against Datadog's log aggregation backend using Datadog's query language (DQL or legacy Lucene syntax). Supports full-text search, field-based filtering (service, environment, host, status code), time range specification, and result sorting. Returns paginated log entries with parsed fields, timestamps, and source metadata for investigation and analysis.","intents":["Search application logs for error messages or specific request IDs during incident investigation","Filter logs by service and environment to isolate issues to a specific deployment","Retrieve recent logs from a specific host or container to understand its behavior"],"best_for":["SREs investigating production incidents by correlating logs with metrics","Developers debugging application behavior using structured log queries","Teams building automated log analysis into incident response playbooks"],"limitations":["Log retention depends on Datadog plan (15 days to 30 days standard); older logs are not queryable","Query latency increases with result set size; queries returning >10k logs may timeout","DQL syntax differs from Lucene; legacy queries may need translation for newer Datadog accounts"],"requires":["Datadog API key and app key","Log indexing enabled in Datadog account","Appropriate RBAC permissions to access logs in specific indexes"],"input_types":["query string (DQL or Lucene syntax)","time range (ISO 8601 or relative)","sort order (timestamp, relevance)","limit (number of results, default 100)"],"output_types":["JSON array of log entries with timestamp, message, parsed fields","Source metadata (service, host, environment, container ID)","Log level and status information"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_3","uri":"capability://tool.use.integration.apm.trace.retrieval.and.span.analysis","name":"apm trace retrieval and span analysis","description":"Queries Datadog APM (Application Performance Monitoring) to retrieve distributed traces and individual spans for a service. Supports filtering by service name, operation name, trace status (error/success), duration thresholds, and custom tags. Returns trace hierarchies with span timing, resource names, and error details for performance analysis and debugging.","intents":["Find slow traces for a specific service to identify performance bottlenecks","Retrieve error traces to understand what went wrong in a failed request","Analyze span timing across microservices to find where latency is introduced"],"best_for":["Backend engineers optimizing service performance using trace data","DevOps teams investigating latency issues across distributed systems","Teams automating performance analysis into incident response workflows"],"limitations":["Trace retention limited by Datadog plan (15 days standard); older traces are not queryable","Span-level filtering requires indexed tags; custom attributes not indexed by default","Large traces (>1000 spans) may have truncated span details in API response"],"requires":["Datadog APM enabled and instrumented in target services","Datadog API key and app key","RBAC permissions to access APM data"],"input_types":["service name (string)","operation name (optional)","time range (ISO 8601 or relative)","filters: status (error/success), duration range, custom tags","limit (number of traces)"],"output_types":["JSON trace objects with span hierarchy","Span timing (start, duration), resource names, operation names","Error details (exception type, stack trace, error message)","Service and host metadata"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_4","uri":"capability://tool.use.integration.dashboard.retrieval.and.widget.configuration.inspection","name":"dashboard retrieval and widget configuration inspection","description":"Lists dashboards in a Datadog account and retrieves their full configuration, including widget definitions, metric queries, and layout information. Supports filtering by dashboard type (custom, service overview, etc.) and tags. Returns dashboard metadata and widget definitions in JSON format for analysis or programmatic dashboard generation.","intents":["Find existing dashboards related to a service to understand monitoring setup","Retrieve dashboard widget configurations to understand what metrics are being tracked","Inspect dashboard queries to understand how metrics are aggregated and displayed"],"best_for":["Teams auditing dashboard coverage and metric selection","Engineers building dashboard-as-code workflows or dashboard templates","Automation engineers extracting dashboard configurations for migration or replication"],"limitations":["Dashboard definitions can be large (>100KB for complex dashboards); full retrieval may be slow","Widget query syntax is Datadog-specific; queries may not be portable to other visualization tools","Dashboard permissions are not returned; cannot determine who has access to specific dashboards"],"requires":["Datadog API key and app key","Read permissions on dashboards in Datadog RBAC"],"input_types":["dashboard ID or name (optional for list operation)","filter by type or tags (optional)"],"output_types":["JSON dashboard objects with metadata (title, description, tags)","Widget definitions with metric queries, visualization type, thresholds","Dashboard layout and grid configuration"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_5","uri":"capability://tool.use.integration.event.stream.querying.and.correlation","name":"event stream querying and correlation","description":"Retrieves events from Datadog's event stream, supporting filtering by event type (monitor alert, deployment, custom event), source, tags, and time range. Returns event metadata including timestamp, title, text, and associated tags for timeline analysis and incident correlation.","intents":["Find all events (alerts, deployments, incidents) in a time window to correlate with metric anomalies","Retrieve deployment events to understand what changed when a metric degraded","Search for specific event types (e.g., monitor alerts) to understand alert frequency"],"best_for":["SREs correlating events with metrics during incident investigation","Teams building timeline-based incident analysis workflows","Automation engineers triggering actions based on event patterns"],"limitations":["Event retention limited by Datadog plan (typically 30 days); older events are not queryable","Event filtering is limited to predefined fields; custom event attributes may not be filterable","Event stream does not include real-time streaming; queries return historical events only"],"requires":["Datadog API key and app key","Events being sent to Datadog (via API, integrations, or monitors)"],"input_types":["time range (ISO 8601 or relative)","filters: event type, source, tags, priority","limit (number of events)"],"output_types":["JSON event objects with timestamp, title, text, tags","Event source and type metadata","Associated alert or monitor information"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_6","uri":"capability://tool.use.integration.downtime.scheduling.and.management","name":"downtime scheduling and management","description":"Creates, updates, and lists downtime windows in Datadog, allowing suppression of alerts during maintenance or known issues. Supports recurring downtime schedules, scope filtering by monitor tags or specific monitors, and timezone-aware scheduling. Returns downtime configuration and status for audit and compliance tracking.","intents":["Schedule downtime for a maintenance window to prevent false alerts","Create recurring downtime for known non-critical alerts (e.g., nightly batch jobs)","List active downtime windows to understand what alerts are currently suppressed"],"best_for":["DevOps teams automating maintenance window alert suppression","SREs managing downtime for scheduled maintenance or known issues","Automation engineers building incident response workflows that suppress related alerts"],"limitations":["Downtime creation requires write permissions; read-only API keys cannot create downtime","Recurring downtime patterns are limited to simple schedules (daily, weekly); complex patterns require multiple downtime entries","Downtime scope is limited to monitor tags or specific monitor IDs; cannot scope to arbitrary metric queries"],"requires":["Datadog API key and app key with write permissions","RBAC permissions to manage downtime in Datadog account"],"input_types":["downtime scope (monitor IDs or tags)","start and end time (ISO 8601 or Unix timestamp)","recurrence pattern (optional): daily, weekly, monthly","timezone (optional, defaults to UTC)","message (optional)"],"output_types":["JSON downtime object with ID, scope, schedule, status","Confirmation of downtime creation or update"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_7","uri":"capability://tool.use.integration.custom.metric.submission.and.ingestion","name":"custom metric submission and ingestion","description":"Submits custom metrics to Datadog via the metrics API, supporting gauge, counter, histogram, and distribution metric types. Handles metric naming, tagging, and timestamp specification. Enables programmatic metric generation from Claude-driven workflows for custom monitoring scenarios.","intents":["Submit custom metrics from an automation workflow to track non-standard events or states","Record metric values from external systems or manual processes into Datadog","Generate synthetic metrics for testing or validation purposes"],"best_for":["Automation engineers submitting custom metrics from CI/CD or incident response workflows","Teams tracking non-standard metrics (e.g., business events, manual processes) in Datadog","Developers instrumenting custom code paths with metrics via Claude-driven workflows"],"limitations":["Metric submission has rate limits (typically 100 requests/second); high-volume submissions may be throttled","Custom metrics incur additional costs in Datadog; not suitable for high-cardinality metrics with many tag combinations","Metric data is asynchronous; submitted metrics may take 1-2 minutes to appear in dashboards"],"requires":["Datadog API key (app key not required for metric submission)","Appropriate RBAC permissions to submit custom metrics"],"input_types":["metric name (string, must follow Datadog naming conventions)","metric type (gauge, counter, histogram, distribution)","metric value (numeric)","timestamp (optional, defaults to current time)","tags (optional, key:value pairs)"],"output_types":["Confirmation of metric submission","HTTP status code indicating success or error"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_8","uri":"capability://tool.use.integration.service.catalog.and.dependency.mapping","name":"service catalog and dependency mapping","description":"Retrieves service definitions from Datadog's service catalog, including service metadata, dependencies, owners, and tags. Supports filtering by team, environment, or custom tags. Returns service relationship information for understanding system architecture and ownership.","intents":["Find all services owned by a team to understand service portfolio","Retrieve service dependencies to understand impact of a service outage","Look up service owner information for escalation or communication"],"best_for":["SREs understanding service dependencies during incident response","Teams managing service ownership and responsibility","Automation engineers building impact analysis into incident workflows"],"limitations":["Service catalog must be manually populated or integrated with service discovery; not auto-generated from metrics","Dependency information is static; does not reflect dynamic runtime dependencies","Owner information is only as current as the service catalog; may be stale if not regularly updated"],"requires":["Datadog API key and app key","Service catalog populated in Datadog account"],"input_types":["service name (optional for list operation)","filter by team, environment, or tags (optional)"],"output_types":["JSON service objects with metadata (name, team, environment, tags)","Service dependencies and relationships","Owner and contact information"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__cap_9","uri":"capability://tool.use.integration.incident.creation.and.management","name":"incident creation and management","description":"Creates and updates incidents in Datadog's incident management system, supporting severity levels, status transitions, and team assignment. Integrates with Datadog's incident workflow to enable programmatic incident creation from Claude-driven automation. Returns incident metadata and status for tracking.","intents":["Create an incident in Datadog when an automation workflow detects a critical issue","Update incident severity or status based on new information or resolution","Assign incidents to teams or individuals for response coordination"],"best_for":["Automation engineers triggering incident creation from detection workflows","Teams building incident response automation into Claude-driven workflows","SREs managing incident lifecycle programmatically"],"limitations":["Incident creation requires write permissions; read-only API keys cannot create incidents","Incident severity and status are limited to predefined values; custom incident types not supported","Incident assignment is limited to users in the Datadog account; external escalation requires additional integration"],"requires":["Datadog API key and app key with write permissions","Incident management enabled in Datadog account","RBAC permissions to create incidents"],"input_types":["incident title (string)","severity level (SEV-1, SEV-2, SEV-3, SEV-4, SEV-5)","status (active, resolved, etc.)","assigned team or user (optional)","description or summary (optional)"],"output_types":["JSON incident object with ID, title, severity, status","Incident metadata and timestamps","Confirmation of incident creation or update"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"datadog-mcp-server__headline","uri":"capability://tool.use.integration.mcp.server.for.datadog.monitoring.and.analytics","name":"mcp server for datadog monitoring and analytics","description":"A community-driven MCP server that allows users to efficiently query metrics, manage dashboards, and retrieve logs and trace data through the Datadog API, enhancing monitoring and analytics capabilities.","intents":["best MCP server for Datadog","MCP server for monitoring and analytics","top community MCP server for Datadog","how to manage dashboards with Datadog MCP server","query metrics using Datadog MCP server","retrieve logs with Datadog MCP server"],"best_for":["developers using Datadog","teams needing monitoring solutions"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":63,"verified":false,"data_access_risk":"high","permissions":["Datadog API key and app key (from Datadog account settings)","Network access to Datadog API endpoints (api.datadoghq.com or regional variant)","MCP client supporting tool calling (Claude 3.5+, or compatible MCP host)","Datadog API key and app key","Read permissions on monitors in Datadog RBAC","MCP client with tool calling support","Log indexing enabled in Datadog account","Appropriate RBAC permissions to access logs in specific indexes","Datadog APM enabled and instrumented in target services","RBAC permissions to access APM data"],"failure_modes":["Query latency depends on Datadog API response time (typically 1-3 seconds); 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