Skip to main content
Glama
dynatrace-oss

Dynatrace Managed MCP Server

Official
by dynatrace-oss
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to Dynatrace Managed MCP Server

  • dtctl

    clabrado
    F
    license
    Not graded
    quality
    B
    maintenance
    Provides an MCP server to interact with Dynatrace platform tools, including DQL queries, documents, workflows, SLOs, settings, and entities, enabling management through natural language.
    -

  • Dynatrace SaaS MCP Server

    mnmozi
    A
    license
    B
    quality
    B
    maintenance
    Enables LLM agents to query Dynatrace SaaS for observability data (logs, metrics, traces, entities, problems, vulnerabilities) and manage configurations (dashboards, notebooks, SLOs, synthetic monitors, settings).
    100
    MIT

  • Dynatrace MCP

    theharithsa
    A
    license
    Not graded
    quality
    C
    maintenance
    A powerful Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Dynatrace's observability platform. Features dual authentication architecture, Davis CoPilot AI integration, and 24 specialized tools for monitoring, automation, and operational intelligence.
    31 npm
    5
    MIT

  • dynatrace-mcp

    keadachik
    A
    license
    Not graded
    quality
    D
    maintenance
    This remote MCP server allows interaction with the Dynatrace observability platform. Bring real-time observability data directly into your development workflow.
    MIT

  • Dynatrace MCP Server

    RakeshSingh-21
    F
    license
    Not graded
    quality
    C
    maintenance
    Enables interaction with Dynatrace Grail and API endpoints by executing DQL queries, retrieving logs, reporting active problems, and querying metrics.
    -
  • Dynatrace MCP Server by dynatrace-oss

    Dynatrace MCP Serverofficial

    dynatrace-oss
    A
    license
    Not graded
    quality
    F
    maintenance
    A remote MCP server that enables real-time interaction with the Dynatrace observability platform, bringing production-level monitoring data directly into development workflows.
    16,795 npm
    138
    MIT

Related Servers

  • Datadog MCP Server

    bhayanak
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to interact with Datadog's observability platform via natural language, covering metrics, logs, APM, monitors, dashboards, incidents, and infrastructure.
    715 npm
    1
    MIT

  • otel-mcp-server

    shiftyp
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables natural language querying and analysis of OpenTelemetry traces, metrics, and logs stored in Elasticsearch/OpenSearch, allowing AI assistants to investigate performance issues, find root causes, and explore system behavior.
    21 npm
    14
    MIT

  • Wazuh MCP Server

    salepassionate
    A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to converse in plain language with a Wazuh SIEM deployment, querying and aggregating alerts, hunting threats, triaging vulnerabilities, running compliance checks, and executing or rolling back active responses across multi-cluster environments. Works with both cloud and fully local, air-gapped LLM clients while enforcing scoped, audited access to the security tools.
    MIT

  • datadog-mcp

    Vicks9070
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to query and manage Datadog observability data including metrics, logs, traces, and monitors through natural language. Supports read-only operations by default for security.
    MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.6/5.0

Scored across 18 tools

Disambiguation5/5

Each tool targets a distinct resource-action pair: list/get pairs for problems, events, SLOs, security problems, entities, and metrics are clearly separated, while discovery, relationship, and query tools have unique purposes. There is no meaningful overlap that would cause an agent to select the wrong tool.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern with the same dynatrace_managed_ prefix. Verbs are limited to list, get, query, and discover, making the API surface predictable and easy to navigate.

Tool Count3/5

At 18 tools, the server is at the heavier end of the expected range. The count is justified by covering multiple Dynatrace domains, but the many list/get pairs make the set feel slightly larger than strictly necessary.

Completeness4/5

The toolset provides good read-only coverage across major Dynatrace Managed areas: entities, metrics, logs, problems, events, security problems, and SLOs. Minor gaps exist, such as no log detail retrieval or problem/event mutation, but these are largely outside the apparent monitoring-focused scope.

Maintenance

ActivityActive
ResponsivenessSlow

Resources