Dynatrace

by docker ✓ verified ✓ Packaged by Docker

This MCP Server allows interaction with the Dynatrace observability platform, brining real-time observability data directly into your development workflow.

MCP server installable needs setup network: on runtime: sysbox

Monitoring & Uptime MCP Servers

Dynatrace MCP Server

This MCP Server allows interaction with the Dynatrace observability platform, brining real-time observability data directly into your development workflow.

What is an MCP Server?

MCP Info

Attribute	Details
Docker Image	mcp/dynatrace-mcp-server
Author	dynatrace-oss
Repository	https://github.com/dynatrace-oss/dynatrace-mcp

Image Building Info

Attribute	Details
Dockerfile	https://github.com/dynatrace-oss/dynatrace-mcp/blob/35db4695ce24f19d5326edee5a86e9ba39e13f69/Dockerfile
Commit	`35db4695ce24f19d5326edee5a86e9ba39e13f69`
Docker Image built by	Docker Inc.
Docker Scout Health Score	Docker Scout Health Score
Verify Signature	`COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/dynatrace-mcp-server --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub`
Licence	MIT License

Available Tools (18)

Tools provided by this Server	Short Description
`chat_with_davis_copilot`	Use this tool to ask any Dynatrace related question, in case no other more specific tool is available.
`create_dynatrace_notebook`	Create a new notebook in the Dynatrace platform (NOT a Jupyter notebook) to share your analysis and findings with colleagues.
`execute_davis_analyzer`	Execute a Davis Analyzer with custom input parameters.
`execute_dql`	Get data like Logs, Metrics, Spans, Events, or Entity Data from Dynatrace Grail by executing a Dynatrace Query Language (DQL) statement.
`explain_dql_in_natural_language`	Explain Dynatrace Query Language (DQL) statements in natural language using Davis CoPilot AI.
`find_entity_by_name`	Find the entityId and type of a monitored entity (service, host, process-group, application, kubernetes-node, custom-app, ...) within the topology on Dynatrace, based on the name of the entity.
`generate_dql_from_natural_language`	Convert natural language queries to Dynatrace Query Language (DQL) using Davis CoPilot AI.
`get_environment_info`	Get information about the connected Dynatrace Environment (Tenant) and verify the connection and authentication.
`get_kubernetes_events`	Get all events from a specific Kubernetes (K8s) cluster
`list_davis_analyzers`	List all available Davis Analyzers in Dynatrace (forecast, anomaly detection, correlation analyzers, and more)
`list_exceptions`	List all exceptions known on Dynatrace starting with the most recent.
`list_problems`	List all problems (based on "fetch dt.davis.problems") known on Dynatrace, sorted by their recency.
`list_vulnerabilities`	Retrieve all active (non-muted) vulnerabilities from Dynatrace.
`reset_grail_budget`	Reset the Grail query budget after it was exhausted, allowing new queries to be executed.
`send_email`	Send an email using the Dynatrace Email API.
`send_event`	Send a custom event to Dynatrace using the Events API v2.
`send_slack_message`	Sends a Slack message to a dedicated Slack Channel via Slack Connector on Dynatrace
`verify_dql`	Syntactically verify a Dynatrace Query Language (DQL) statement on Dynatrace GRAIL before executing it.

Tools Details

Tool: `chat_with_davis_copilot`

Use this tool to ask any Dynatrace related question, in case no other more specific tool is available.

Parameters	Type	Description
`text`	`string`	Your question or request for Davis CoPilot
`context`	`string` optional	Optional context to provide additional information (like problem details, vulnerability details, entity information)
`instruction`	`string` optional	Optional instruction for how to format the response

This tool is read-only. It does not modify its environment.

This tool interacts with external entities.

Tool: `create_dynatrace_notebook`

Create a new notebook in the Dynatrace platform (NOT a Jupyter notebook) to share your analysis and findings with colleagues.

Parameters	Type	Description
`content`	`array`	The Dynatrace notebook content, containing DQL statements and text (multi-line markdown is possible) relevant for the analysis. Do NOT use Jupyter notebook format.
`name`	`string`	The name of the notebook (e.g., "Performance Analysis for <entity-name>" or "Error Investigation Dashboard for <problem-name>")
`description`	`string` optional	Optional description of the Dynatrace notebook (could include the purpose, scope, the original prompt, or just a summary based on the initial prompt)

This tool may perform destructive updates.

Tool: `execute_davis_analyzer`

Execute a Davis Analyzer with custom input parameters. Use "list_davis_analyzers" first to see available analyzers and their names.

Parameters	Type	Description
`analyzerName`	`string`	The name of the Davis Analyzer to execute (e.g., "dt.statistics.GenericForecastAnalyzer")
`input`	`object` optional	Input parameters for the analyzer as a JSON object
`timeframeEnd`	`string` optional	End time for the analysis (default: now)
`timeframeStart`	`string` optional	Start time for the analysis (default: now-1h)

This tool is read-only. It does not modify its environment.

Tool: `execute_dql`

Get data like Logs, Metrics, Spans, Events, or Entity Data from Dynatrace Grail by executing a Dynatrace Query Language (DQL) statement. Use the "generate_dql_from_natural_language" tool upfront to generate or refine a DQL statement based on your request. To learn about possible fields available for filtering, use the query "fetch dt.semantic_dictionary.models | filter data_object == "logs"". IMPORTANT: The MCP App UI will automatically render the query results as an interactive table and chart. Do NOT generate Mermaid diagrams, ASCII charts, markdown tables, or any other visual representation of the data — the MCP App is solely responsible for rendering.

Parameters	Type	Description
`dqlStatement`	`string`	DQL Statement (Ex: "fetch [logs, spans, events, ...], from: now()-4h, to: now() [
`recordLimit`	`number` optional	Maximum number of records to return (default: 100)
`recordSizeLimitMB`	`number` optional	Maximum size of the returned records in MB (default: 1MB)

This tool interacts with external entities.

Tool: `explain_dql_in_natural_language`

Explain Dynatrace Query Language (DQL) statements in natural language using Davis CoPilot AI.

Parameters	Type	Description
`dql`	`string`	The DQL statement to explain

This tool is read-only. It does not modify its environment.

Tool: `find_entity_by_name`

Find the entityId and type of a monitored entity (service, host, process-group, application, kubernetes-node, custom-app, ...) within the topology on Dynatrace, based on the name of the entity. Run this before querying data like logs, metrics, problems, events. If no entity name is known, make an educated guess with common identifiers like package.json id/name, helm chart names, kubernetes manifest names, and alike.

Parameters	Type	Description
`entityNames`	`array`	Names of the entities to search for - try with one name at first (identifiers like package.json id), and only try with multiple names if the first search was unsuccessful
`extendedSearch`	`boolean` optional	Set this to true if you want a comprehensive search over all available entity types.
`maxEntitiesToDisplay`	`number` optional	Maximum number of entities to display in the response.

This tool is read-only. It does not modify its environment.

Tool: `generate_dql_from_natural_language`

Convert natural language queries to Dynatrace Query Language (DQL) using Davis CoPilot AI. You can ask for problem events, security issues, logs, metrics, spans, and custom data.

Parameters	Type	Description
`text`	`string`	Natural language description of what you want to query. Be specific and include time ranges, entities, and metrics of interest.

This tool is read-only. It does not modify its environment.

Tool: `get_environment_info`

Get information about the connected Dynatrace Environment (Tenant) and verify the connection and authentication.

Tool: `get_kubernetes_events`

Get all events from a specific Kubernetes (K8s) cluster

Parameters	Type	Description
`clusterId`	`string` optional	The Kubernetes Cluster Id, referred to as k8s.cluster.uid, usually seen when using "kubectl" - this is NOT the Dynatrace environment and not the Dynatrace Kubernetes Entity Id. Leave empty if you don't know the Cluster Id.
`eventType`	`string` optional
`kubernetesEntityId`	`string` optional	The Dynatrace Kubernetes Entity Id, referred to as dt.entity.kubernetes_cluster. Leave empty if you don't know the Entity Id, or use the "find_entity_by_name" tool to find the cluster by name.
`maxEventsToDisplay`	`number` optional	Maximum number of events to display in the response.
`timeframe`	`string` optional	Timeframe to query events (e.g., "12h", "24h", "7d", "30d"). Default: "24h". Supports hours (h) and days (d).

This tool is read-only. It does not modify its environment.

Tool: `list_davis_analyzers`

List all available Davis Analyzers in Dynatrace (forecast, anomaly detection, correlation analyzers, and more)

Tool: `list_exceptions`

List all exceptions known on Dynatrace starting with the most recent.

Parameters	Type	Description
`additionalFilter`	`string` optional	Additional DQL filter for user.events - filter by error id like 'error.id == "<error.id>"', application id like 'dt.rum.application.id == "<dt.rum.application.id>"', application entity like 'dt.rum.application.entity == "<dt.rum.application.entity>"' or operating system name like 'os.name == "<os.name>"'. Leave empty to get all exceptions within the timeframe.
`maxExceptionsToDisplay`	`number` optional	Maximum number of exceptions to display in the response.
`timeframe`	`string` optional	Timeframe to query problems (e.g., "12h", "24h", "7d", "30d", "30m"). Default: "24h". Supports days (d), hours (h) and minutes (m).

This tool is read-only. It does not modify its environment.

Tool: `list_problems`

List all problems (based on "fetch dt.davis.problems") known on Dynatrace, sorted by their recency.

Parameters	Type	Description
`additionalFilter`	`string` optional	Additional DQL filter for dt.davis.problems - filter by entity type (preferred), like 'dt.entity.<service
`maxProblemsToDisplay`	`number` optional	Maximum number of problems to display in the response.
`status`	`string` optional	Fitler problems by their status. "ACTIVE": only active problems (those without an end time set), "CLOSED": only closed problems (those with an end time set), "ALL": active and closed problems (default)
`timeframe`	`string` optional	Timeframe to query problems (e.g., "12h", "24h", "7d", "30d"). Default: "24h". Supports hours (h) and days (d).

This tool is read-only. It does not modify its environment.

Tool: `list_vulnerabilities`

Retrieve all active (non-muted) vulnerabilities from Dynatrace. An additional filter can be provided using DQL filter (filter for a specific entity type and id).

Parameters	Type	Description
`additionalFilter`	`string` optional	Additional DQL-based filter for accessing vulnerabilities, e.g., by entity type (preferred), like 'dt.entity.<service
`maxVulnerabilitiesToDisplay`	`number` optional	Maximum number of vulnerabilities to display in the response.
`riskScore`	`number` optional	Minimum risk score of vulnerabilities to list (default: 8.0)
`timeframe`	`string` optional	Timeframe to query vulnerabilities (e.g., "12h", "24h", "7d", "30d", "90d"). Default: "30d". Supports hours (h) and days (d).

This tool is read-only. It does not modify its environment.

Tool: `reset_grail_budget`

Reset the Grail query budget after it was exhausted, allowing new queries to be executed. This clears all tracked bytes scanned in the current session.

Tool: `send_email`

Send an email using the Dynatrace Email API. The sender will be no-reply@apps.dynatrace.com. Maximum 10 recipients total across TO, CC, and BCC.

Parameters	Type	Description
`body`	`string`	Body content of the email (plain text only). Avoid sending sensitive data like log lines. Focus on context, insights, links, and summaries.
`subject`	`string`	Subject line of the email
`toRecipients`	`array`	Array of email addresses for TO recipients
`bccRecipients`	`array` optional	Array of email addresses for BCC recipients
`ccRecipients`	`array` optional	Array of email addresses for CC recipients

This tool interacts with external entities.

Tool: `send_event`

Send a custom event to Dynatrace using the Events API v2. Use this to ingest custom events for alerting, tracking deployments, configuration changes, or any custom business events.

Parameters	Type	Description
`eventType`	`string`	Type of event to send. Common types: CUSTOM_INFO for general information, CUSTOM_DEPLOYMENT for deployments, CUSTOM_ALERT for alerts, ERROR_EVENT for errors.
`title`	`string`	Title of the event (max 500 characters). Should be descriptive and concise.
`endTime`	`number` optional	End timestamp of the event in UTC milliseconds. If not set, current time is used.
`entitySelector`	`string` optional	Entity selector to associate the event with specific Dynatrace entities. Example: "type(HOST),entityId(HOST-1234567890ABCDEF)" or "type(SERVICE),tag(environment:production)"
`properties`	`object` optional	Custom properties as key-value pairs to include with the event. Example: {"version": "1.2.3", "environment": "production"}
`startTime`	`number` optional	Start timestamp of the event in UTC milliseconds. If not set, current time is used.

This tool may perform destructive updates.

Tool: `send_slack_message`

Sends a Slack message to a dedicated Slack Channel via Slack Connector on Dynatrace

Parameters	Type	Description
`channel`	`string`
`message`	`string`	Slack markdown supported. Avoid sending sensitive data like log lines. Focus on context, insights, links, and summaries.

Tool: `verify_dql`

Syntactically verify a Dynatrace Query Language (DQL) statement on Dynatrace GRAIL before executing it. Recommended for generated DQL statements. Skip for statements created by generate_dql_from_natural_language tool, as well as from documentation.

Parameters	Type	Description
`dqlStatement`	`string`

This tool is read-only. It does not modify its environment.

Use this MCP Server

{
  "mcpServers": {
    "dynatrace-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DT_ENVIRONMENT",
        "-e",
        "OAUTH_CLIENT_ID",
        "-e",
        "OAUTH_CLIENT_SECRET",
        "mcp/dynatrace-mcp-server"
      ],
      "env": {
        "DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com",
        "OAUTH_CLIENT_ID": "dt0s02.SAMPLE",
        "OAUTH_CLIENT_SECRET": "dt0s02.SAMPLE.abcd1234"
      }
    }
  }
}

Why is it safer to run MCP Servers with Docker?

Install

Open LabStore on any connected Selfmade Ninja Labs instance and press Get — or run this from the instance shell:

labsctl store-install mcp-dynatrace-mcp-server

About

Kind: MCP server
Publisher: docker
Version: f6df2eba10f5
Updated: 13 Oct 2026
Transport: stdio
Licence: MIT License
Owner: dynatrace-oss
Packaged by: Docker

Secrets needed

OAUTH_CLIENT_ID: dynatrace-mcp-server.oauth_client_id
OAUTH_CLIENT_SECRET: dynatrace-mcp-server.oauth_client_secret

Tools (18)

chat_with_davis_copilot: Use this tool to ask any Dynatrace related question, in case no other more specific tool is available.
create_dynatrace_notebook: Create a new notebook in the Dynatrace platform (NOT a Jupyter notebook) to share your analysis and findings with colleagues.
execute_davis_analyzer: Execute a Davis Analyzer with custom input parameters. Use "list_davis_analyzers" first to see available analyzers and their names.
execute_dql: Get data like Logs, Metrics, Spans, Events, or Entity Data from Dynatrace Grail by executing a Dynatrace Query Language (DQL) statement. Use the "generate_dql_f
explain_dql_in_natural_language: Explain Dynatrace Query Language (DQL) statements in natural language using Davis CoPilot AI.
find_entity_by_name: Find the entityId and type of a monitored entity (service, host, process-group, application, kubernetes-node, custom-app, ...) within the topology on Dynatrace,
generate_dql_from_natural_language: Convert natural language queries to Dynatrace Query Language (DQL) using Davis CoPilot AI. You can ask for problem events, security issues, logs, metrics, spans
get_environment_info: Get information about the connected Dynatrace Environment (Tenant) and verify the connection and authentication.
get_kubernetes_events: Get all events from a specific Kubernetes (K8s) cluster
list_davis_analyzers: List all available Davis Analyzers in Dynatrace (forecast, anomaly detection, correlation analyzers, and more)
list_exceptions: List all exceptions known on Dynatrace starting with the most recent.
list_problems: List all problems (based on "fetch dt.davis.problems") known on Dynatrace, sorted by their recency.
list_vulnerabilities: Retrieve all active (non-muted) vulnerabilities from Dynatrace. An additional filter can be provided using DQL filter (filter for a specific entity type and id)
reset_grail_budget: Reset the Grail query budget after it was exhausted, allowing new queries to be executed. This clears all tracked bytes scanned in the current session.
send_email: Send an email using the Dynatrace Email API. The sender will be no-reply@apps.dynatrace.com. Maximum 10 recipients total across TO, CC, and BCC.
send_event: Send a custom event to Dynatrace using the Events API v2. Use this to ingest custom events for alerting, tracking deployments, configuration changes, or any cus
send_slack_message: Sends a Slack message to a dedicated Slack Channel via Slack Connector on Dynatrace
verify_dql: Syntactically verify a Dynatrace Query Language (DQL) statement on Dynatrace GRAIL before executing it. Recommended for generated DQL statements. Skip for state

Source

View upstream ↗

View repository ↗

image mcp/dynatrace-mcp-server@sha256:df93c6f1912ab3a178a0f5c57cd477a7424d8ef5c6ffe648059de7872c08d322

digest sha256:df93c6f1912ab3a178a…

Every store app is stripped of privileged/host-mount settings at install and runs contained on the installing host. The rules.

Dynatrace MCP Server

MCP Info

Image Building Info

Available Tools (18)

Tools Details

Tool: chat_with_davis_copilot

Tool: create_dynatrace_notebook

Tool: execute_davis_analyzer

Tool: execute_dql

Tool: explain_dql_in_natural_language

Tool: find_entity_by_name

Tool: generate_dql_from_natural_language

Tool: get_environment_info

Tool: get_kubernetes_events

Tool: list_davis_analyzers

Tool: list_exceptions

Tool: list_problems

Tool: list_vulnerabilities

Tool: reset_grail_budget

Tool: send_email

Tool: send_event

Tool: send_slack_message

Tool: verify_dql

Use this MCP Server

Tool: `chat_with_davis_copilot`

Tool: `create_dynatrace_notebook`

Tool: `execute_davis_analyzer`

Tool: `execute_dql`

Tool: `explain_dql_in_natural_language`

Tool: `find_entity_by_name`

Tool: `generate_dql_from_natural_language`

Tool: `get_environment_info`

Tool: `get_kubernetes_events`

Tool: `list_davis_analyzers`

Tool: `list_exceptions`

Tool: `list_problems`

Tool: `list_vulnerabilities`

Tool: `reset_grail_budget`

Tool: `send_email`

Tool: `send_event`

Tool: `send_slack_message`

Tool: `verify_dql`