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Implements MCP resource handlers that translate natural language metric queries into Datadog API calls, returning structured JSON responses with timestamps and metric values for downstream analysis or visualization.","intents":["Query historical metrics from Datadog to diagnose performance issues in an LLM-driven incident response workflow","Retrieve aggregated metrics (avg, max, min, p95) for a specific service over a time window to feed into anomaly detection logic","Filter metrics by tags (environment, region, service) to scope queries to specific infrastructure components"],"best_for":["DevOps teams building LLM-powered incident response agents","SREs integrating observability data into AI-driven dashboards","Platform engineers automating metric collection for cost analysis workflows"],"limitations":["Requires valid Datadog API key and app key; no built-in credential rotation or key management","Query latency depends on Datadog API response time (typically 500ms-2s for large time ranges)","No built-in caching of metric results; repeated queries hit Datadog API directly","Limited to Datadog's query syntax and aggregation functions; cannot extend with custom metrics logic"],"requires":["Datadog account with API access enabled","Datadog API key and application key","Node.js 16+ runtime","MCP client implementation (Claude Desktop, custom agent framework, etc.)"],"input_types":["metric query strings (e.g., 'avg:system.cpu{env:prod}' in Datadog query language)","time range specifications (ISO 8601 timestamps or relative durations like '1h', '7d')","aggregation parameters (rollup interval, function type)"],"output_types":["JSON-structured metric data with timestamps and values","Aggregated statistics (mean, max, min, percentiles)","Tag-filtered result sets"],"categories":["tool-use-integration","observability"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_1","uri":"capability://tool.use.integration.datadog.logs.search.and.filtering.via.mcp","name":"datadog logs search and filtering via mcp","description":"Exposes Datadog's logs API through MCP, allowing agents to search and filter logs by query expressions, time ranges, and facets. Translates MCP tool calls into Datadog Logs Query Language (LQL) API requests, returning paginated log entries with metadata (timestamp, service, host, tags) for root cause analysis and debugging workflows.","intents":["Search logs for error patterns or stack traces to diagnose application failures in an automated incident response flow","Filter logs by service, environment, and time range to correlate with metric anomalies","Retrieve log facets (unique values for a field like 'service' or 'status') to understand the scope of an issue"],"best_for":["On-call engineers using LLM agents for log-based troubleshooting","Automated incident response systems that correlate logs with metrics and traces","Teams building AI-powered log analysis and alerting workflows"],"limitations":["Pagination required for large result sets; no automatic streaming of all matching logs","Datadog LQL syntax complexity may require agents to learn query patterns; no query builder abstraction","Log retention limits apply (depends on Datadog plan); older logs may not be queryable","No full-text search optimization; complex queries can timeout on very large log volumes"],"requires":["Datadog account with logs enabled","Datadog API key and application key with logs read permissions","Node.js 16+ runtime","MCP client with tool-calling support"],"input_types":["Datadog Logs Query Language (LQL) expressions (e.g., 'service:api status:error')","time range parameters (ISO 8601 or relative)","facet field names for aggregation"],"output_types":["JSON array of log entries with full metadata","Facet aggregations (unique field values and counts)","Pagination tokens for result set navigation"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_2","uri":"capability://tool.use.integration.datadog.events.creation.and.querying.via.mcp","name":"datadog events creation and querying via mcp","description":"Exposes Datadog's events API through MCP, allowing agents to create custom events (e.g., deployments, alerts, incidents) and query historical events by time range and tags. Implements MCP tools that translate event creation requests into Datadog event API calls, storing structured event metadata (title, text, tags, priority) for correlation with metrics and logs.","intents":["Create deployment events in Datadog when CI/CD pipelines complete, enabling correlation with performance metrics","Query events to understand the timeline of infrastructure changes during an incident investigation","Tag events with service, environment, and incident metadata to build a searchable audit trail"],"best_for":["DevOps teams automating event tracking for deployments and infrastructure changes","Incident response teams building event timelines for post-mortems","Platform teams integrating CI/CD and observability workflows"],"limitations":["Event creation is asynchronous; no guarantee of immediate visibility in Datadog UI","Event retention depends on Datadog plan; older events may be archived or deleted","No built-in deduplication; duplicate event creation requests will create multiple events","Event query results are limited to recent events; historical event queries may be incomplete"],"requires":["Datadog account with events API enabled","Datadog API key with events write permissions","Node.js 16+ runtime","MCP client implementation"],"input_types":["event title and description text","event tags (key:value pairs for service, environment, etc.)","event priority level (low, normal, high)","time range for event queries"],"output_types":["confirmation of event creation with event ID","JSON array of historical events with metadata","event aggregations by tag"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_3","uri":"capability://tool.use.integration.datadog.monitors.and.alert.rules.querying.via.mcp","name":"datadog monitors and alert rules querying via mcp","description":"Exposes Datadog's monitors API through MCP, allowing agents to query existing monitors, alert rules, and their current status. Implements MCP resource handlers that fetch monitor definitions (thresholds, conditions, notification rules) and current alert state, enabling agents to understand alerting configuration and correlate alerts with incidents.","intents":["Retrieve monitor definitions to understand what thresholds triggered an alert during incident investigation","Query alert status across all monitors to get a snapshot of system health","Identify monitors related to a specific service or metric to scope incident impact"],"best_for":["On-call engineers investigating alerts and understanding monitor configuration","Incident response teams building context about what triggered an alert","Automation teams building alert-aware workflows that adjust based on monitor state"],"limitations":["Read-only access to monitors; cannot create or modify monitors via MCP (API limitation)","Monitor state is point-in-time; no historical alert state tracking","Large numbers of monitors may require pagination; no built-in filtering by type or status","Monitor definitions can be complex (composite monitors, custom metrics); parsing may require agent reasoning"],"requires":["Datadog account with monitors configured","Datadog API key with monitors read permissions","Node.js 16+ runtime","MCP client"],"input_types":["monitor ID or name for specific lookups","filter criteria (monitor type, status, tags)","pagination parameters"],"output_types":["JSON monitor definitions with thresholds and conditions","current alert state (triggered, resolved, no data)","notification rule metadata"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_4","uri":"capability://tool.use.integration.datadog.infrastructure.and.host.information.retrieval.via.mcp","name":"datadog infrastructure and host information retrieval via mcp","description":"Exposes Datadog's infrastructure API through MCP, allowing agents to query host information, tags, and metadata. Implements MCP tools that fetch host lists, host details (OS, agent version, IP addresses), and host tags for infrastructure topology understanding and resource allocation analysis.","intents":["Retrieve host information to understand which servers are affected by a metric anomaly or alert","Query host tags to identify infrastructure topology (environment, region, service) for scoping incident impact","Check agent status and versions to diagnose monitoring gaps or outdated agent deployments"],"best_for":["Infrastructure teams investigating host-level issues and resource allocation","Incident response teams understanding infrastructure topology during incidents","Automation teams building host-aware remediation workflows"],"limitations":["Host data is eventually consistent; recently added hosts may not appear immediately","Agent status is based on last heartbeat; offline hosts may show stale status for up to 10 minutes","Large infrastructure (thousands of hosts) requires pagination; no built-in filtering by agent version or status","No real-time host metrics; only metadata and tags are available (metrics require separate metrics API)"],"requires":["Datadog account with infrastructure monitoring enabled","Datadog API key with infrastructure read permissions","Node.js 16+ runtime","MCP client"],"input_types":["host name or ID for specific lookups","filter criteria (tag filters, agent status)","pagination parameters"],"output_types":["JSON host metadata (OS, agent version, IP addresses)","host tags and custom metadata","agent status and last heartbeat timestamp"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_5","uri":"capability://tool.use.integration.datadog.trace.and.apm.data.retrieval.via.mcp","name":"datadog trace and apm data retrieval via mcp","description":"Exposes Datadog's APM/traces API through MCP, allowing agents to query distributed traces, span data, and service dependencies. Implements MCP tools that fetch traces by service, operation, or error status, returning span hierarchies and latency information for performance analysis and debugging distributed systems.","intents":["Query traces for a specific service to understand request flow and identify latency bottlenecks","Retrieve error traces to diagnose application failures and understand error propagation across services","Analyze service dependencies and call graphs to understand system architecture and failure impact"],"best_for":["Backend engineers debugging performance issues in distributed systems","SREs investigating latency spikes and service dependencies","Incident response teams understanding request flow during outages"],"limitations":["Trace retention depends on Datadog plan; older traces may not be queryable","Trace sampling may result in incomplete data for high-volume services","Large traces with many spans can be slow to retrieve and parse","Trace query syntax is limited; complex filtering requires multiple API calls"],"requires":["Datadog account with APM enabled","Services instrumented with Datadog APM agents","Datadog API key with traces read permissions","Node.js 16+ runtime","MCP client"],"input_types":["service name and operation name for trace filtering","time range for trace queries","filter criteria (error status, latency thresholds)","span ID or trace ID for specific lookups"],"output_types":["JSON trace data with span hierarchies and timing","service dependency graphs","error information and stack traces from spans"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_6","uri":"capability://tool.use.integration.mcp.protocol.implementation.and.tool.discovery","name":"mcp protocol implementation and tool discovery","description":"Implements the Model Context Protocol (MCP) server specification, exposing Datadog API capabilities as discoverable MCP tools and resources. Handles MCP initialization, tool schema definition, request routing, and response formatting according to MCP specification, enabling any MCP-compatible client (Claude, custom agents) to discover and invoke Datadog operations.","intents":["Enable Claude Desktop and other MCP clients to automatically discover available Datadog operations without manual configuration","Standardize how LLM agents interact with Datadog across different frameworks and tools","Provide schema-based tool definitions that allow agents to understand parameters, required fields, and return types"],"best_for":["Teams building LLM agents that need standardized Datadog integration","Claude Desktop users wanting native Datadog access without custom plugins","Organizations standardizing on MCP for observability tool integration"],"limitations":["Requires MCP-compatible client; not compatible with non-MCP LLM frameworks","MCP server must be running and accessible to the client (local or network)","Tool schema definitions are static; cannot dynamically adapt to Datadog API changes without server restart","No built-in rate limiting or request queuing; high-volume agent usage may hit Datadog API limits"],"requires":["Node.js 16+ runtime","MCP client implementation (Claude Desktop, custom agent framework, etc.)","Network connectivity between MCP client and server"],"input_types":["MCP protocol messages (tool calls, resource requests)","JSON-formatted tool parameters"],"output_types":["MCP protocol responses with tool results","JSON-structured data from Datadog API","error messages and status codes"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-datadog-mcp-server__cap_7","uri":"capability://tool.use.integration.datadog.api.authentication.and.credential.management.via.mcp","name":"datadog api authentication and credential management via mcp","description":"Handles Datadog API authentication (API key and app key) and credential management for MCP tool invocations. Implements secure credential storage (environment variables or config files), request signing, and error handling for authentication failures, ensuring all Datadog API calls are properly authenticated without exposing credentials in logs or responses.","intents":["Securely authenticate to Datadog API without hardcoding credentials in agent code","Handle authentication errors gracefully and provide meaningful error messages to agents","Support multiple Datadog organizations or API keys for multi-tenant scenarios"],"best_for":["Teams deploying MCP servers in shared environments where credential security is critical","Organizations with multiple Datadog accounts or organizations","DevOps teams automating Datadog integration with strict security policies"],"limitations":["Credentials must be provided via environment variables or config files; no built-in credential rotation","No support for temporary credentials or STS tokens; only static API keys","Credentials are stored in memory during server runtime; no encryption at rest","No audit logging of API calls; cannot track which agent made which API request"],"requires":["Datadog API key and application key","Environment variables or config file for credential storage","Node.js 16+ runtime"],"input_types":["API key and app key (via environment or config)","Datadog API endpoint URL (with region support)"],"output_types":["authenticated HTTP requests to Datadog API","error messages for authentication failures"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Datadog account with API access enabled","Datadog API key and application key","Node.js 16+ runtime","MCP client implementation (Claude Desktop, custom agent framework, etc.)","Datadog account with logs enabled","Datadog API key and application key with logs read permissions","MCP client with tool-calling support","Datadog account with events API enabled","Datadog API key with events write permissions","MCP client implementation"],"failure_modes":["Requires valid Datadog API key and app key; no built-in credential rotation or key management","Query latency depends on Datadog API response time (typically 500ms-2s for large time ranges)","No built-in caching of metric results; repeated queries hit Datadog API directly","Limited to Datadog's query syntax and aggregation functions; cannot extend with custom metrics logic","Pagination required for large result sets; no automatic streaming of all matching logs","Datadog LQL syntax complexity may require agents to learn query patterns; no query builder abstraction","Log retention limits apply (depends on Datadog plan); older logs may not be queryable","No full-text search optimization; complex queries can timeout on very large log volumes","Event creation is asynchronous; no guarantee of immediate visibility in Datadog UI","Event retention depends on Datadog plan; older events may be archived or deleted","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.45,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:35.791Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-datadog-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-datadog-mcp-server"}},"signature":"cLG2yhd/RgEJmYWZg8Cm1uJ5AZ+EXxmd5Ffx/3TF9HLJk7cCpoIxzmZ7uGUS9tJv1wQDRuqnmuEstrzcn+PrCA==","signedAt":"2026-06-21T18:42:06.578Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-datadog-mcp-server","artifact":"https://unfragile.ai/npm-datadog-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-datadog-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}