{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server","slug":"npm-dynatrace-ossdynatrace-mcp-server","name":"@dynatrace-oss/dynatrace-mcp-server","type":"mcp","url":"https://www.npmjs.com/package/@dynatrace-oss/dynatrace-mcp-server","page_url":"https://unfragile.ai/npm-dynatrace-ossdynatrace-mcp-server","categories":["mcp-servers"],"tags":["Dynatrace","mcp","model-context-protocol","server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_0","uri":"capability://tool.use.integration.dynatrace.api.resource.exposure.via.mcp.protocol","name":"dynatrace api resource exposure via mcp protocol","description":"Exposes Dynatrace monitoring and observability APIs as MCP tools and resources, enabling LLM agents and Claude instances to query application performance monitoring data, infrastructure metrics, and log data through a standardized Model Context Protocol interface. Implements MCP server specification with tool definitions that map to Dynatrace REST API endpoints, allowing structured access to time-series metrics, event data, and topology information without direct API key exposure to the client.","intents":["Query application performance metrics and SLO status from Dynatrace without writing custom API clients","Retrieve infrastructure and service topology data to inform incident response decisions","Access historical monitoring data and logs to correlate with application issues","Integrate Dynatrace observability data into LLM-powered incident investigation workflows","Enable Claude or other MCP-compatible LLMs to autonomously gather monitoring context during troubleshooting"],"best_for":["DevOps and SRE teams using Dynatrace for observability who want to integrate monitoring data into AI-assisted incident response","Platform engineers building internal tools that combine LLM reasoning with live infrastructure metrics","Organizations deploying Claude or other MCP-compatible AI agents for autonomous monitoring and alerting"],"limitations":["Requires valid Dynatrace tenant URL and API token with appropriate scopes — no built-in token rotation or credential refresh","MCP protocol overhead adds latency compared to direct REST API calls; suitable for interactive queries, not real-time streaming metrics","Limited to Dynatrace API capabilities and rate limits; no local caching or aggregation layer for high-frequency queries","No built-in filtering or query optimization — clients must construct efficient Dynatrace API queries to avoid timeout or quota exhaustion"],"requires":["Node.js 16+ (MCP server runtime)","Dynatrace tenant with API access enabled","Valid Dynatrace API token with read permissions for metrics, logs, and events","MCP-compatible client (Claude, LLM framework with MCP support)","Network connectivity to Dynatrace API endpoints"],"input_types":["MCP tool calls with structured parameters (metric names, time ranges, entity filters)","Natural language queries from LLM clients requesting observability data"],"output_types":["Structured JSON responses containing metric values, timestamps, and metadata","Event and log records with severity, source, and context information","Topology and dependency data in graph or list format"],"categories":["tool-use-integration","observability-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_1","uri":"capability://tool.use.integration.mcp.tool.schema.generation.from.dynatrace.api.specifications","name":"mcp tool schema generation from dynatrace api specifications","description":"Automatically generates MCP-compliant tool schemas from Dynatrace API endpoint definitions, mapping REST API parameters, response structures, and authentication requirements into structured tool definitions that LLM clients can discover and invoke. Implements schema generation logic that translates Dynatrace API documentation into JSON Schema and MCP tool metadata, enabling dynamic tool registration without manual schema authoring.","intents":["Automatically expose new Dynatrace API endpoints as MCP tools without manual schema definition","Ensure tool schemas remain synchronized with Dynatrace API changes and new features","Enable LLM clients to discover available Dynatrace operations through MCP tool listing","Reduce maintenance burden of keeping tool definitions in sync with upstream API changes"],"best_for":["Teams maintaining MCP servers that need to stay current with Dynatrace API evolution","Platform engineers building extensible observability integration layers","Organizations with multiple Dynatrace API consumers who want a single source of truth for tool definitions"],"limitations":["Schema generation accuracy depends on Dynatrace API documentation completeness — undocumented parameters or response fields may be missed","No built-in versioning or deprecation handling — breaking API changes require manual intervention or schema regeneration","Complex nested response structures may not translate perfectly to JSON Schema, requiring post-generation manual refinement","Tool schema generation is one-time or periodic; real-time API changes are not automatically reflected until server restart"],"requires":["Dynatrace API documentation or OpenAPI/Swagger specification (if available)","Node.js 16+ for schema generation tooling","Access to Dynatrace API metadata or specification files"],"input_types":["Dynatrace API endpoint definitions or OpenAPI specifications","Configuration specifying which API endpoints to expose as tools"],"output_types":["MCP tool schema JSON with parameter definitions, descriptions, and response structures","Tool registry metadata for MCP server initialization"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_2","uri":"capability://tool.use.integration.dynatrace.authentication.and.credential.management.for.mcp.clients","name":"dynatrace authentication and credential management for mcp clients","description":"Manages Dynatrace API authentication (token-based) and credential handling within the MCP server, enabling secure credential injection into API requests without exposing tokens to LLM clients. Implements credential storage and request signing logic that intercepts MCP tool calls, injects Dynatrace API tokens, and forwards authenticated requests to Dynatrace endpoints, maintaining separation between client-facing MCP interface and backend authentication.","intents":["Securely authenticate to Dynatrace API without exposing credentials to LLM clients","Centralize credential management so multiple LLM clients can share a single Dynatrace API token","Prevent accidental credential leakage in LLM prompts or tool call logs","Support multiple Dynatrace tenants or API keys through configuration"],"best_for":["Teams deploying MCP servers in shared or multi-tenant environments where credential isolation is critical","Organizations using Claude or other LLMs that should not have direct access to Dynatrace API keys","DevOps teams managing centralized observability access across multiple applications or teams"],"limitations":["Credentials must be provisioned to the MCP server process at startup — no dynamic credential rotation without server restart","Token expiration or revocation requires manual server restart; no built-in refresh token handling","Credentials stored in environment variables or config files are vulnerable to process inspection or file system access","No audit logging of which LLM clients accessed which Dynatrace data through the MCP server"],"requires":["Dynatrace API token with appropriate read/write scopes","Secure credential storage mechanism (environment variables, secrets manager, or config file with restricted permissions)","Node.js process with access to credential storage at startup"],"input_types":["Dynatrace API token (provided via environment variable or configuration)","MCP tool calls from LLM clients (without embedded credentials)"],"output_types":["Authenticated HTTP requests to Dynatrace API","Responses from Dynatrace API forwarded to MCP clients"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_3","uri":"capability://tool.use.integration.mcp.resource.discovery.and.listing.for.dynatrace.entities","name":"mcp resource discovery and listing for dynatrace entities","description":"Implements MCP resource protocol to expose Dynatrace entities (applications, services, hosts, dashboards, etc.) as discoverable resources that LLM clients can enumerate and reference. Uses MCP resource listing and URI scheme to represent Dynatrace entities as first-class resources, enabling LLM clients to browse available monitoring targets and construct context-aware queries without hardcoding entity names or IDs.","intents":["Browse available applications, services, and infrastructure in Dynatrace through MCP resource listing","Discover entity IDs and metadata needed to construct targeted monitoring queries","Enable LLM clients to dynamically select which Dynatrace entities to query based on user intent","Provide human-readable entity names and descriptions for LLM context"],"best_for":["Interactive LLM applications where users need to select which Dynatrace entities to monitor","Agents that need to discover available monitoring targets before constructing queries","Multi-tenant environments where entity discovery helps LLM clients understand available scope"],"limitations":["Resource listing may be slow for Dynatrace environments with thousands of entities — no built-in pagination or filtering at MCP level","Resource URIs are static snapshots; entity changes in Dynatrace are not reflected until resource list is refreshed","No built-in caching of resource lists — each discovery request may trigger full API enumeration","Resource metadata is limited to what Dynatrace API exposes; custom entity attributes may not be discoverable"],"requires":["Dynatrace API token with read permissions for entity listing","MCP client that supports resource protocol (Claude, LLM frameworks with MCP resource support)"],"input_types":["MCP resource list requests from LLM clients","Optional filters or search parameters for entity discovery"],"output_types":["Structured list of Dynatrace entities with URIs, names, and metadata","Entity details (type, status, tags, custom attributes)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_4","uri":"capability://data.processing.analysis.time.series.metric.query.execution.with.temporal.context","name":"time-series metric query execution with temporal context","description":"Executes Dynatrace time-series metric queries through MCP tools, accepting time range specifications and metric selectors, and returning aggregated metric data with timestamps. Implements query parameter mapping that translates LLM-friendly time specifications (e.g., 'last 1 hour', 'last 7 days') into Dynatrace API time range parameters, and handles metric aggregation and downsampling based on query scope.","intents":["Query application performance metrics (response time, error rate, throughput) for specific time windows","Retrieve infrastructure metrics (CPU, memory, disk) to diagnose resource constraints","Compare metric values across different time periods to identify trends or anomalies","Aggregate metrics across multiple entities (services, hosts) to understand system-wide behavior"],"best_for":["Incident response workflows where LLM agents need to retrieve historical metrics to diagnose issues","Automated monitoring dashboards that query Dynatrace metrics on demand","SRE teams building AI-assisted troubleshooting tools that correlate metrics with events"],"limitations":["Query latency depends on Dynatrace API response time and metric data availability — no local caching or pre-aggregation","Time range specifications are limited to Dynatrace API granularity; sub-second precision is not supported","Metric downsampling and aggregation follow Dynatrace defaults; custom aggregation functions require manual API parameter tuning","Large time ranges or high-cardinality metric queries may timeout or hit Dynatrace API rate limits"],"requires":["Dynatrace API token with metrics read permission","Valid metric selector syntax (Dynatrace metric expression language)","Time range specification (absolute timestamps or relative durations)"],"input_types":["Metric selector (e.g., 'builtin:service.response.time')","Time range (relative: 'last 1 hour', or absolute: Unix timestamps)","Optional aggregation function (avg, max, min, sum)","Optional entity filters (service name, host name, tags)"],"output_types":["Time-series data points with timestamp, metric value, and aggregation metadata","Metric statistics (min, max, avg) for the query time range"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_5","uri":"capability://data.processing.analysis.event.and.alert.data.retrieval.with.filtering.and.correlation","name":"event and alert data retrieval with filtering and correlation","description":"Retrieves Dynatrace events and alerts through MCP tools, supporting filtering by severity, entity type, time range, and custom tags. Implements event query logic that maps LLM-friendly filter specifications into Dynatrace event API parameters, and returns correlated event data with context (affected entities, root cause information, remediation suggestions if available).","intents":["Retrieve recent alerts and events to understand current system health and ongoing incidents","Filter events by severity or entity type to focus on critical issues","Correlate events across multiple services or infrastructure components to identify root causes","Access event history to understand incident patterns and recurring issues"],"best_for":["Incident response workflows where LLM agents need to understand recent system events and alerts","Automated alerting systems that use LLM reasoning to correlate events and suggest remediation","SRE teams building AI-assisted incident investigation tools"],"limitations":["Event retrieval is limited to Dynatrace event retention policy — older events may not be available","Event filtering is constrained by Dynatrace event API capabilities; complex multi-field filters may not be supported","Event correlation is limited to what Dynatrace provides; custom correlation logic requires post-processing by LLM client","High-volume event environments may return large result sets, requiring pagination or filtering to avoid timeout"],"requires":["Dynatrace API token with events read permission","Valid event filter parameters (severity, entity type, time range, tags)"],"input_types":["Event filter criteria (severity: critical/warning/info, entity type, time range)","Optional custom tag filters","Pagination parameters (limit, offset)"],"output_types":["Event records with timestamp, severity, affected entity, description, and root cause information","Alert status and remediation suggestions (if available)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_6","uri":"capability://data.processing.analysis.service.and.infrastructure.topology.querying","name":"service and infrastructure topology querying","description":"Queries Dynatrace service and infrastructure topology through MCP tools, returning dependency graphs, service relationships, and infrastructure hierarchy. Implements topology query logic that retrieves entity relationships from Dynatrace and formats them as graph or tree structures suitable for LLM reasoning about system architecture and impact analysis.","intents":["Understand service dependencies to assess blast radius of potential changes or failures","Identify critical path services that impact multiple downstream services","Visualize infrastructure hierarchy (applications → services → hosts) for context during troubleshooting","Determine which services or infrastructure components are affected by a specific failure"],"best_for":["Incident response workflows where LLM agents need to understand service dependencies and impact","Change management systems that use LLM reasoning to assess risk of infrastructure changes","Architecture documentation tools that automatically generate dependency diagrams from live Dynatrace data"],"limitations":["Topology data is a snapshot at query time; dynamic topology changes are not reflected until next query","Large topology graphs may be difficult for LLM clients to reason about; no built-in graph simplification or filtering","Topology accuracy depends on Dynatrace instrumentation coverage; uninstrumented services may not appear in topology","No built-in visualization of topology; LLM clients must interpret graph structure from JSON representation"],"requires":["Dynatrace API token with topology/entity read permission","Dynatrace instrumentation of services and infrastructure to be queried"],"input_types":["Entity type (service, host, application)","Optional entity filter (name, tag, custom attribute)","Depth parameter (how many levels of dependencies to retrieve)"],"output_types":["Topology graph with nodes (entities) and edges (dependencies)","Service relationship data (calls, dependencies, impact)","Infrastructure hierarchy (applications → services → hosts)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_7","uri":"capability://data.processing.analysis.log.data.retrieval.and.search.with.structured.filtering","name":"log data retrieval and search with structured filtering","description":"Retrieves log data from Dynatrace Logs through MCP tools, supporting structured filtering by log level, source, time range, and custom attributes. Implements log query logic that maps LLM-friendly filter specifications into Dynatrace Logs API parameters, and returns log records with context (source service, host, custom fields) suitable for incident investigation.","intents":["Search application and infrastructure logs to find error messages and stack traces related to incidents","Filter logs by severity, source service, or time range to focus on relevant log entries","Correlate log entries with metrics and events to understand root cause of issues","Access structured log fields (request ID, user ID, custom attributes) for detailed investigation"],"best_for":["Incident response workflows where LLM agents need to search logs for error context","Automated log analysis systems that use LLM reasoning to identify root causes","SRE teams building AI-assisted troubleshooting tools that correlate logs with metrics"],"limitations":["Log retrieval is limited to Dynatrace Logs retention policy — older logs may not be available","Log search performance depends on query complexity and log volume; complex filters may timeout","Structured log field availability depends on application instrumentation; unstructured logs may not be filterable","Large log result sets may require pagination; no built-in result limiting or sampling"],"requires":["Dynatrace API token with Logs read permission","Dynatrace Logs enabled and configured for the environment","Valid log filter parameters (log level, source, time range, custom attributes)"],"input_types":["Log filter criteria (log level: error/warning/info, source service/host, time range)","Optional custom attribute filters","Optional search text (keyword search in log content)","Pagination parameters (limit, offset)"],"output_types":["Log records with timestamp, log level, source, message, and structured fields","Log context (service name, host name, custom attributes)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-dynatrace-ossdynatrace-mcp-server__cap_8","uri":"capability://data.processing.analysis.slo.and.availability.status.querying","name":"slo and availability status querying","description":"Queries Dynatrace Service Level Objectives (SLOs) and availability status through MCP tools, returning current SLO compliance, error budgets, and availability metrics. Implements SLO query logic that retrieves SLO definitions and current status from Dynatrace, and formats results with compliance percentages and error budget remaining for LLM reasoning about service health.","intents":["Check current SLO compliance status to understand if services are meeting availability targets","Retrieve error budget information to assess impact of incidents on SLO compliance","Identify services at risk of SLO breach to prioritize incident response","Track SLO trends over time to understand service reliability patterns"],"best_for":["SRE teams managing SLOs who want LLM-assisted incident prioritization based on SLO impact","Incident response workflows that use SLO status to determine severity and escalation","Automated alerting systems that trigger based on SLO breach risk"],"limitations":["SLO query results are limited to SLOs defined in Dynatrace; custom SLO definitions external to Dynatrace are not accessible","SLO compliance calculation depends on Dynatrace metric data availability and accuracy","Error budget calculations are based on Dynatrace SLO definitions; custom error budget logic is not supported","SLO status is a snapshot at query time; historical SLO trends require multiple queries or separate trend analysis"],"requires":["Dynatrace API token with SLO read permission","Dynatrace SLOs configured for the environment"],"input_types":["Optional SLO filter (name, tag, service)","Optional time range for historical SLO status"],"output_types":["SLO definitions (name, target, time window)","Current SLO compliance percentage","Error budget remaining (percentage or time)","SLO status (compliant, at-risk, breached)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (MCP server runtime)","Dynatrace tenant with API access enabled","Valid Dynatrace API token with read permissions for metrics, logs, and events","MCP-compatible client (Claude, LLM framework with MCP support)","Network connectivity to Dynatrace API endpoints","Dynatrace API documentation or OpenAPI/Swagger specification (if available)","Node.js 16+ for schema generation tooling","Access to Dynatrace API metadata or specification files","Dynatrace API token with appropriate read/write scopes","Secure credential storage mechanism (environment variables, secrets manager, or config file with restricted permissions)"],"failure_modes":["Requires valid Dynatrace tenant URL and API token with appropriate scopes — no built-in token rotation or credential refresh","MCP protocol overhead adds latency compared to direct REST API calls; suitable for interactive queries, not real-time streaming metrics","Limited to Dynatrace API capabilities and rate limits; no local caching or aggregation layer for high-frequency queries","No built-in filtering or query optimization — clients must construct efficient Dynatrace API queries to avoid timeout or quota exhaustion","Schema generation accuracy depends on Dynatrace API documentation completeness — undocumented parameters or response fields may be missed","No built-in versioning or deprecation handling — breaking API changes require manual intervention or schema regeneration","Complex nested response structures may not translate perfectly to JSON Schema, requiring post-generation manual refinement","Tool schema generation is one-time or periodic; real-time API changes are not automatically reflected until server restart","Credentials must be provisioned to the MCP server process at startup — no dynamic credential rotation without server restart","Token expiration or revocation requires manual server restart; 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