{
    "_source": {
        "name": "Tyler Willis Intelligence",
        "url": "https://tylerewillis.com/intelligence/tools/dynatrace-mcp-server",
        "author": "Tyler Willis",
        "publisher": "tylerewillis.com",
        "license": "CC-BY-4.0",
        "license_url": "https://creativecommons.org/licenses/by/4.0/",
        "attribution_required": "Include source URL or citation string when redistributing, quoting, or embedding in AI responses.",
        "citation": "Tyler Willis. \"Dynatrace MCP Server.\" tylerewillis.com/intelligence. Accessed 2026-06-12. https://tylerewillis.com/intelligence/tools/dynatrace-mcp-server",
        "docs": "https://tylerewillis.com/intelligence/api"
    },
    "slug": "dynatrace-mcp-server",
    "tool_name": "Dynatrace MCP Server",
    "vendor_company": "Dynatrace",
    "website_url": "https://www.dynatrace.com",
    "category_primary": "MCP server",
    "category_secondary": [
        "observability",
        "monitoring",
        "AI automation",
        "security",
        "DevOps"
    ],
    "product_stage": "ga",
    "launch_date": null,
    "version_current": null,
    "changelog_url": null,
    "ai_summary": "The Dynatrace MCP Server integrates observability and monitoring tools into AI workflows, providing real-time production insights and secure access to Dynatrace data. It supports natural language querying, anomaly detection, forecasting, and agentic workflows by connecting AI agents to Dynatrace platform data via the Model Context Protocol (MCP).",
    "core_use_cases": [
        "Integrate real-time observability and monitoring into AI workflows",
        "Query Dynatrace Grail data using natural language",
        "Retrieve problem details, vulnerabilities, exceptions, and Kubernetes events",
        "Analyze anomalies and forecast time series data",
        "Enable AI-powered troubleshooting and debugging",
        "Automate workflows with production data",
        "Secure and governed access to Dynatrace platform data"
    ],
    "ai_features": 1,
    "agent_support": 1,
    "multi_agent_support": null,
    "mcp_support": 1,
    "memory_support": null,
    "rag_support": null,
    "voice_support": null,
    "vision_support": null,
    "code_execution": 1,
    "human_in_loop": null,
    "real_time_support": 1,
    "fine_tuning_support": null,
    "context_window": null,
    "ai_model_underlying": null,
    "native_integrations_count": null,
    "key_integrations": [
        "GitHub Copilot",
        "Microsoft Copilot",
        "Claude",
        "Slack",
        "n8n",
        "Atlassian Rovo",
        "Azure SRE",
        "AWS DevOps",
        "Amazon Kiro",
        "Google Gemini CLI"
    ],
    "zapier_connected": null,
    "make_connected": null,
    "n8n_connected": 1,
    "api_available": 1,
    "api_type": null,
    "webhook_support": 1,
    "pricing_model": "Custom",
    "free_tier": 1,
    "free_tier_limits": "Local MCP server is free; usage of Dynatrace Grail queries may incur additional costs based on volume scanned",
    "starter_price_monthly": null,
    "pro_price_monthly": null,
    "enterprise_price_custom": 1,
    "pricing_unit": null,
    "pricing_last_updated": "2026-06-08",
    "pricing_history": null,
    "customer_count_estimate": null,
    "g2_rating": null,
    "g2_review_count": null,
    "github_stars": 70,
    "twitter_followers": null,
    "community_size": null,
    "producthunt_upvotes": null,
    "affiliate_program": null,
    "affiliate_commission_pct": null,
    "white_label_available": null,
    "partner_program": null,
    "reseller_program": null,
    "ai_capability_score": "7.00",
    "ai_value_score": "7.00",
    "ai_threat_score": "3.00",
    "trajectory": "rising",
    "acquisition_risk": "low",
    "commoditization_risk": "medium",
    "ai_use_case_match": [
        "AI-powered monitoring",
        "Observability automation",
        "Agentic AI workflows",
        "Natural language querying of monitoring data",
        "Anomaly detection and forecasting"
    ],
    "sentiment_from_reviews": "mixed",
    "review_themes": [
        "Strong integration with Dynatrace observability",
        "Easy setup and real-time insights",
        "Lacks documentation on prompts, resources, roots, and sampling",
        "Good for AI workflow integration",
        "Costs depend on Dynatrace Grail query volume"
    ],
    "last_major_feature": "General availability release with secure MCP protocol integration and natural language querying",
    "last_major_feature_date": null,
    "roadmap_items": [
        "Improve documentation on prompts, resources, roots, and sampling",
        "Expand integrations with more AI platforms and tools",
        "Enhance cost control and query budget tracking",
        "Add support for multi-agent workflows and memory",
        "Extend AI capabilities and agentic operations"
    ],
    "soc2_certified": null,
    "gdpr_compliant": null,
    "hipaa_compliant": null,
    "eu_data_residency": null,
    "sso_support": null,
    "audit_log": null,
    "created_at": "2026-06-08 03:00:15",
    "updated_at": "2026-06-11 05:30:06",
    "field_sources": "{\"_default\":\"https://www.flowhunt.io/mcp-servers/dynatrace\",\"asserted_at\":\"2026-06-08\"}",
    "uuid": "d31ff27a-6320-11f1-91a7-525400d81b6e"
}